Triple
T10745886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacq gas field |
E253447
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Lacq
Lacq is a commune in southwestern France known for its major natural gas production and associated petrochemical industry.
|
E883894
|
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: Lacq | Statement: [Lacq gas field, locatedNear, Lacq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacq Context triple: [Lacq gas field, locatedNear, Lacq]
-
A.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
-
B.
Lacanau
Lacanau is a coastal resort town in southwestern France known for its Atlantic beaches, surfing, and large freshwater lake.
-
C.
Ville-la-Grand
Ville-la-Grand is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
-
D.
Balbec
Balbec is a fictional seaside resort town in Marcel Proust’s novel cycle "In Search of Lost Time," serving as a key backdrop for the narrator’s experiences and reflections on memory, love, and society.
-
E.
Luçon
Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
- 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: Lacq Triple: [Lacq gas field, locatedNear, Lacq]
Generated description
Lacq is a commune in southwestern France known for its major natural gas production and associated petrochemical industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lacq Target entity description: Lacq is a commune in southwestern France known for its major natural gas production and associated petrochemical industry.
-
A.
Desnos
Desnos is the surname of Robert Desnos, a notable French surrealist poet and member of the Resistance during World War II.
-
B.
Lacanau
Lacanau is a coastal resort town in southwestern France known for its Atlantic beaches, surfing, and large freshwater lake.
-
C.
Ville-la-Grand
Ville-la-Grand is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
-
D.
Balbec
Balbec is a fictional seaside resort town in Marcel Proust’s novel cycle "In Search of Lost Time," serving as a key backdrop for the narrator’s experiences and reflections on memory, love, and society.
-
E.
Luçon
Luçon is a historic town in western France, known as a former episcopal seat and for its notable cathedral and religious heritage.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b77c4881909d16c6e82a9b86ca |
completed | April 9, 2026, 2:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de230b461c81909a98085079676b95 |
completed | April 14, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:15 p.m.