Triple
T6645313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiers arrondissement |
E150684
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Moissat
Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
|
E610482
|
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: Moissat | Statement: [Thiers arrondissement, contains, Moissat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moissat Context triple: [Thiers arrondissement, contains, Moissat]
-
A.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
B.
Maoutia
Maoutia is a small genus of flowering plants in the nettle family Urticaceae, native to parts of Asia and the Pacific.
-
C.
Molat
Molat is a small Croatian island in the Adriatic Sea, known for its tranquil villages, clear waters, and relatively untouched natural landscapes within Zadar County.
-
D.
Saffais
Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
-
E.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
- 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: Moissat Triple: [Thiers arrondissement, contains, Moissat]
Generated description
Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moissat Target entity description: Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
A.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
B.
Maoutia
Maoutia is a small genus of flowering plants in the nettle family Urticaceae, native to parts of Asia and the Pacific.
-
C.
Molat
Molat is a small Croatian island in the Adriatic Sea, known for its tranquil villages, clear waters, and relatively untouched natural landscapes within Zadar County.
-
D.
Saffais
Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
-
E.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01bb290819089c4ff2bd2b5e09b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef48b488190ac08dc37d4a5d514 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f127d9188190849959aaae10f769 |
completed | March 27, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f5318764819092eca02a5f300e2a |
completed | March 27, 2026, 9:22 p.m. |
Created at: March 27, 2026, 2 p.m.