Triple
T10914033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Girons |
E257773
|
entity |
| Predicate | regionTourism |
P3030
|
FINISHED |
| Object |
Couserans
Couserans is a historic and mountainous area in the Ariège department of southwestern France, known for its Pyrenean landscapes, rural villages, and outdoor tourism.
|
E894257
|
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: Couserans | Statement: [Saint-Girons, regionTourism, Couserans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Couserans Context triple: [Saint-Girons, regionTourism, Couserans]
-
A.
Laarks
Laarks is an American indie rock band known for its layered, experimental sound and connections to other Midwest alternative music projects.
-
B.
Coxen
Coxen is a surname variant of Cox, typically of English origin.
-
C.
Cesqeaux
Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
-
D.
Garons
Garons is a small commune in southern France’s Gard department, situated near the city of Nîmes and known for hosting the Nîmes-Alès-Camargue-Cévennes Airport.
-
E.
Corval
Corval is a small village in Portugal’s Alentejo region, known for its traditional pottery and rural charm.
- 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: Couserans Triple: [Saint-Girons, regionTourism, Couserans]
Generated description
Couserans is a historic and mountainous area in the Ariège department of southwestern France, known for its Pyrenean landscapes, rural villages, and outdoor tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Couserans Target entity description: Couserans is a historic and mountainous area in the Ariège department of southwestern France, known for its Pyrenean landscapes, rural villages, and outdoor tourism.
-
A.
Laarks
Laarks is an American indie rock band known for its layered, experimental sound and connections to other Midwest alternative music projects.
-
B.
Coxen
Coxen is a surname variant of Cox, typically of English origin.
-
C.
Cesqeaux
Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
-
D.
Garons
Garons is a small commune in southern France’s Gard department, situated near the city of Nîmes and known for hosting the Nîmes-Alès-Camargue-Cévennes Airport.
-
E.
Corval
Corval is a small village in Portugal’s Alentejo region, known for its traditional pottery and rural charm.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77073d12881908ea59771b84bc804 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e216eb77dc81908c380f5fcd507275 |
completed | April 17, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_69e21d8952c881908a952de83754e049 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e2247fbd348190bb0d221923dac892 |
completed | April 17, 2026, 12:16 p.m. |
Created at: April 8, 2026, 9:22 p.m.