Triple
T3873943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac du Salagou |
E92450
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object |
Salasc
Salasc is a small commune in southern France’s Hérault department, known for its proximity to the scenic Lac du Salagou.
|
E395521
|
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: Salasc | Statement: [Lac du Salagou, municipality, Salasc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salasc Context triple: [Lac du Salagou, municipality, Salasc]
-
A.
Scialfa
Scialfa is the surname of Patti Scialfa, an American singer-songwriter and guitarist best known as a member of Bruce Springsteen's E Street Band.
-
B.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
C.
Rosaliac
Rosaliac is a La Roche-Posay skincare line formulated to soothe, strengthen, and visibly reduce redness in sensitive, redness-prone skin.
-
D.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
E.
Liotta
Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
- 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: Salasc Triple: [Lac du Salagou, municipality, Salasc]
Generated description
Salasc is a small commune in southern France’s Hérault department, known for its proximity to the scenic Lac du Salagou.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salasc Target entity description: Salasc is a small commune in southern France’s Hérault department, known for its proximity to the scenic Lac du Salagou.
-
A.
Scialfa
Scialfa is the surname of Patti Scialfa, an American singer-songwriter and guitarist best known as a member of Bruce Springsteen's E Street Band.
-
B.
Sardoal
Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
-
C.
Rosaliac
Rosaliac is a La Roche-Posay skincare line formulated to soothe, strengthen, and visibly reduce redness in sensitive, redness-prone skin.
-
D.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
E.
Liotta
Liotta is an Italian-origin surname most famously associated with American actor Ray Liotta, known for his roles in films like "Goodfellas."
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec581adc81909219e6f025fc97c2 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5124cdf588190b3b83ee8fb29450a |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b5132715888190bc5ba6182965e813 |
completed | March 14, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513b11dcc8190a2c2e3f27b4cf25e |
completed | March 14, 2026, 7:52 a.m. |
Created at: March 9, 2026, 3:20 p.m.