Triple
T15438057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perthes-lès-Hurlus |
E369820
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Massiges
Massiges is a small commune in northeastern France notable for its World War I battlefield sites and preserved trench systems.
|
E1157997
|
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: Massiges | Statement: [Perthes-lès-Hurlus, locatedNear, Massiges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massiges Context triple: [Perthes-lès-Hurlus, locatedNear, Massiges]
-
A.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
B.
Massa
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
-
C.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
D.
Massa
"Massa" is a track from Tyler, the Creator’s album *Call Me If You Get Lost*, known for its introspective lyrics about his personal growth and artistic evolution.
-
E.
Mulhousien
Mulhousien is the French term for an inhabitant or native of the city of Mulhouse in northeastern France.
- 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: Massiges Triple: [Perthes-lès-Hurlus, locatedNear, Massiges]
Generated description
Massiges is a small commune in northeastern France notable for its World War I battlefield sites and preserved trench systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Massiges Target entity description: Massiges is a small commune in northeastern France notable for its World War I battlefield sites and preserved trench systems.
-
A.
Massa
Massa is a small coastal town in southern Morocco known for its proximity to the Souss-Massa National Park and its traditional Berber culture.
-
B.
Massa
Massa is a historic city in northwestern Tuscany, Italy, known for its marble industry and proximity to the Apuan Alps and the Tyrrhenian coast.
-
C.
Massa
Massa is a biblical figure listed among the descendants of Ishmael in the Hebrew Bible.
-
D.
Massa
"Massa" is a track from Tyler, the Creator’s album *Call Me If You Get Lost*, known for its introspective lyrics about his personal growth and artistic evolution.
-
E.
Mulhousien
Mulhousien is the French term for an inhabitant or native of the city of Mulhouse in northeastern France.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a7d44481909a26b5cc331a3259 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff23348a448190a2a2953a18b29aaf |
completed | May 9, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff240af68c8190af88834d97a42afb |
completed | May 9, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:21 a.m.