Triple
T13162729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3rd Foreign Infantry Regiment |
E312766
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
3e REI
3e REI is a regiment of the French Foreign Legion renowned for its service in harsh environments, particularly in French Guiana and historically in Indochina and North Africa.
|
E1024099
|
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: 3e REI | Statement: [3rd Foreign Infantry Regiment, abbreviation, 3e REI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3e REI Context triple: [3rd Foreign Infantry Regiment, abbreviation, 3e REI]
-
A.
2e REI
2e REI is a regiment of the French Foreign Legion renowned for its infantry combat role and deployments in overseas operations.
-
B.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
C.
E-3
E-3 is a U.S. Air Force airborne warning and control system (AWACS) aircraft based on the Boeing 707 airframe, used for long-range surveillance, command, and control.
-
D.
E35
E35 is a major north–south European route running from Amsterdam in the Netherlands to Rome in Italy, passing through Germany and Switzerland.
-
E.
E313
E313 is a major Belgian motorway connecting Antwerp with Liège and serving as a key east–west transport corridor through the Limburg region.
- 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: 3e REI Triple: [3rd Foreign Infantry Regiment, abbreviation, 3e REI]
Generated description
3e REI is a regiment of the French Foreign Legion renowned for its service in harsh environments, particularly in French Guiana and historically in Indochina and North Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 3e REI Target entity description: 3e REI is a regiment of the French Foreign Legion renowned for its service in harsh environments, particularly in French Guiana and historically in Indochina and North Africa.
-
A.
2e REI
2e REI is a regiment of the French Foreign Legion renowned for its infantry combat role and deployments in overseas operations.
-
B.
ER3
ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
-
C.
E-3
E-3 is a U.S. Air Force airborne warning and control system (AWACS) aircraft based on the Boeing 707 airframe, used for long-range surveillance, command, and control.
-
D.
E35
E35 is a major north–south European route running from Amsterdam in the Netherlands to Rome in Italy, passing through Germany and Switzerland.
-
E.
E313
E313 is a major Belgian motorway connecting Antwerp with Liège and serving as a key east–west transport corridor through the Limburg region.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf4cd788190b74cca51b5219bfb |
completed | May 3, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69f6eeefa9a08190b042212f24735ca7 |
completed | May 3, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef933f888190880e680f7f4c1c29 |
completed | May 3, 2026, 6:47 a.m. |
Created at: April 9, 2026, 9:12 p.m.