Triple
T13264664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st Foreign Cavalry Regiment |
E315886
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
1er REC
1er REC is a cavalry regiment of the French Foreign Legion known for its armored reconnaissance and combat roles within the French Army.
|
E1031174
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1er REC | Statement: [1st Foreign Cavalry Regiment, shortName, 1er REC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 1er REC Context triple: [1st Foreign Cavalry Regiment, shortName, 1er REC]
-
A.
1st CEB
1st CEB is a United States Marine Corps combat engineer battalion that provides mobility, counter-mobility, survivability, and engineering support to Marine infantry and armored units.
-
B.
Unua
Unua is an Oceanic language spoken by a small community in Vanuatu.
-
C.
First
First is a surname most notably associated with Ruth First, a South African anti-apartheid activist, journalist, and scholar.
-
D.
Primera D
Primera D is the lowest tier of the Argentine football league system, featuring semi-professional and amateur clubs competing under the Argentine Football Association.
-
E.
FIRST
FIRST (For Inspiration and Recognition of Science and Technology) is an international youth organization that runs robotics competitions and programs to inspire students’ interest and participation in science, technology, engineering, and math.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 1er REC Triple: [1st Foreign Cavalry Regiment, shortName, 1er REC]
Generated description
1er REC is a cavalry regiment of the French Foreign Legion known for its armored reconnaissance and combat roles within the French Army.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 1er REC Target entity description: 1er REC is a cavalry regiment of the French Foreign Legion known for its armored reconnaissance and combat roles within the French Army.
-
A.
1st CEB
1st CEB is a United States Marine Corps combat engineer battalion that provides mobility, counter-mobility, survivability, and engineering support to Marine infantry and armored units.
-
B.
Unua
Unua is an Oceanic language spoken by a small community in Vanuatu.
-
C.
First
First is a surname most notably associated with Ruth First, a South African anti-apartheid activist, journalist, and scholar.
-
D.
Primera D
Primera D is the lowest tier of the Argentine football league system, featuring semi-professional and amateur clubs competing under the Argentine Football Association.
-
E.
FIRST
FIRST (For Inspiration and Recognition of Science and Technology) is an international youth organization that runs robotics competitions and programs to inspire students’ interest and participation in science, technology, engineering, and math.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9901c65048190bd8b3c4872f22520 |
completed | April 11, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4ad79c8190b1304942dc48c0ff |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70b37ebe081909ed2ae0f42ccad2d |
completed | May 3, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70ca343f08190b6484f464ed40810 |
completed | May 3, 2026, 8:51 a.m. |
Created at: April 9, 2026, 9:25 p.m.