Triple
T19350652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | arrondissement of Limoges |
E484007
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ambazac
Ambazac is a small commune in west-central France known for its scenic Limousin countryside and proximity to the city of Limoges.
|
E1396551
|
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: Ambazac | Statement: [arrondissement of Limoges, contains, Ambazac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambazac Context triple: [arrondissement of Limoges, contains, Ambazac]
-
A.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
B.
Étupes
Étupes is a small commune in eastern France’s Bourgogne-Franche-Comté region, near the city of Montbéliard.
-
C.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
D.
Preignac
Preignac is a commune in southwestern France’s Gironde department, known for its vineyards within the Sauternes wine-producing region.
-
E.
Lugnez
Lugnez is a small municipality in the canton of Jura in northwestern Switzerland.
- 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: Ambazac Triple: [arrondissement of Limoges, contains, Ambazac]
Generated description
Ambazac is a small commune in west-central France known for its scenic Limousin countryside and proximity to the city of Limoges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ambazac Target entity description: Ambazac is a small commune in west-central France known for its scenic Limousin countryside and proximity to the city of Limoges.
-
A.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
B.
Étupes
Étupes is a small commune in eastern France’s Bourgogne-Franche-Comté region, near the city of Montbéliard.
-
C.
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
D.
Preignac
Preignac is a commune in southwestern France’s Gironde department, known for its vineyards within the Sauternes wine-producing region.
-
E.
Lugnez
Lugnez is a small municipality in the canton of Jura in northwestern Switzerland.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190381c081909c747a22422fb02c |
completed | April 20, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccb1ef608190af8bd4e7cd8c63cf |
completed | May 16, 2026, 1:47 a.m. |
| NEDg | Description generation | batch_6a07ce0ee7ac8190af90a2ab043da4c2 |
completed | May 16, 2026, 1:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ce5e36f48190ba3b0b44a74262c4 |
completed | May 16, 2026, 1:54 a.m. |
Created at: April 10, 2026, 1:34 p.m.