Triple
T3105968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lot |
E64829
|
entity |
| Predicate | hasMouthNear |
P350
|
FINISHED |
| Object |
Aiguillon
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
|
E389044
|
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: Aiguillon | Statement: [Lot, hasMouthNear, Aiguillon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aiguillon Context triple: [Lot, hasMouthNear, Aiguillon]
-
A.
Largentière
Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
-
B.
Valtournenche
Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
-
C.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
D.
Draguignan
Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
-
E.
Acquigny
Acquigny is a commune in northern France known for its historic château, picturesque setting, and location at the confluence of the Eure and Iton rivers.
- 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: Aiguillon Triple: [Lot, hasMouthNear, Aiguillon]
Generated description
Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aiguillon Target entity description: Aiguillon is a commune in southwestern France, known for its strategic location at the confluence of the Lot and Garonne rivers.
-
A.
Largentière
Largentière is a historic town in southern France known for its medieval architecture and former silver mining industry.
-
B.
Valtournenche
Valtournenche is a mountain village and commune in Italy’s Aosta Valley, known as a gateway to the Matterhorn and a popular destination for alpine climbing and skiing.
-
C.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
-
D.
Draguignan
Draguignan is a town in southeastern France’s Var department, known as a former prefecture and gateway to the Provence region.
-
E.
Acquigny
Acquigny is a commune in northern France known for its historic château, picturesque setting, and location at the confluence of the Eure and Iton rivers.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29beff08190b6e1eb6b0608d0eb |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f0130db48190b6662c8dabf67d1d |
completed | March 14, 2026, 5:20 a.m. |
| NEDg | Description generation | batch_69b4f3d23c348190ac5c66d0ccf2a905 |
completed | March 14, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f437d3408190bcaf3a1e471f938e |
completed | March 14, 2026, 5:38 a.m. |
Created at: March 8, 2026, 3:04 p.m.