Triple
T17495576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pays d’Olmes |
E426048
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Benaix
Benaix is a small commune in the Ariège department of southwestern France, situated in the historical region known as the Pays d’Olmes.
|
E1271826
|
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: Benaix | Statement: [Pays d’Olmes, contains, Benaix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benaix Context triple: [Pays d’Olmes, contains, Benaix]
-
A.
Bescanó
Bescanó is a municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
-
B.
Balenyà
Balenyà is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
C.
Camarasa
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
-
D.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
E.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
- 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: Benaix Triple: [Pays d’Olmes, contains, Benaix]
Generated description
Benaix is a small commune in the Ariège department of southwestern France, situated in the historical region known as the Pays d’Olmes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benaix Target entity description: Benaix is a small commune in the Ariège department of southwestern France, situated in the historical region known as the Pays d’Olmes.
-
A.
Bescanó
Bescanó is a municipality in the province of Girona, Catalonia, Spain, known for its rural character and proximity to the city of Girona.
-
B.
Balenyà
Balenyà is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
-
C.
Camarasa
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
-
D.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
-
E.
Trambesòs
Trambesòs is a modern tram network serving Barcelona’s northeastern metropolitan area, connecting the city with nearby coastal and suburban districts.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520dd9508190872a71d3722228e2 |
completed | April 19, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c204c53c81909a9b3543bccc4fae |
completed | May 11, 2026, 11:48 a.m. |
| NEDg | Description generation | batch_6a01c3112120819088d102c341aab170 |
completed | May 11, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c38e58e08190a1fc3a3e1738d6b0 |
completed | May 11, 2026, 11:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.