Triple
T18438016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciron River |
E450444
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object |
Preignac
Preignac is a commune in southwestern France’s Gironde department, known for its vineyards within the Sauternes wine-producing region.
|
E1343437
|
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: Preignac | Statement: [Ciron River, flowsNear, Preignac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Preignac Context triple: [Ciron River, flowsNear, Preignac]
-
A.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
B.
Monpezat
Monpezat is a French noble family name associated with Prince Henrik of Denmark and his descendants.
-
C.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
-
D.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
E.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
- 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: Preignac Triple: [Ciron River, flowsNear, Preignac]
Generated description
Preignac is a commune in southwestern France’s Gironde department, known for its vineyards within the Sauternes wine-producing region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Preignac Target entity description: Preignac is a commune in southwestern France’s Gironde department, known for its vineyards within the Sauternes wine-producing region.
-
A.
Saussignac
Saussignac is a small wine-producing commune in southwestern France, known for its sweet white wines made primarily from Sémillon and other Bordeaux grape varieties.
-
B.
Monpezat
Monpezat is a French noble family name associated with Prince Henrik of Denmark and his descendants.
-
C.
Targnon
Targnon is a small village in the municipality of Stoumont in the province of Liège, Belgium.
-
D.
Calvé
Calvé is a well-known food brand, particularly recognized for its peanut butter and sauces, that forms part of Unilever’s global brand portfolio.
-
E.
Chassezac
The Chassezac is a river in southern France known for flowing through the Cévennes region and forming scenic gorges popular for outdoor activities like canoeing and rock climbing.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0ed6708190ae90efd8455ec352 |
completed | April 19, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0546fff34c8190bc9b021cd270e7e7 |
completed | May 14, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_6a054b7038b8819091039d37cd04bed8 |
completed | May 14, 2026, 4:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a054bce6bf48190879b6fd7adb1cd39 |
completed | May 14, 2026, 4:13 a.m. |
Created at: April 10, 2026, 11:29 a.m.