Triple
T11879353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benasque Valley |
E282614
|
entity |
| Predicate | hasMajorSettlement |
P316
|
FINISHED |
| Object |
Cerler
Cerler is a Spanish mountain village in the Pyrenees best known for its ski resort, one of the highest and most prominent in the Aragon region.
|
E951946
|
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: Cerler | Statement: [Benasque Valley, hasMajorSettlement, Cerler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cerler Context triple: [Benasque Valley, hasMajorSettlement, Cerler]
-
A.
Clelles
Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
-
B.
Cresserons
Cresserons is a small commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Kileler
Kileler is a municipality and village in the Thessaly region of central Greece, known historically for its agricultural character and the 1910 peasant uprising.
-
D.
Celles
Celles is a small French village in the Hérault department of southern France, known for its picturesque location on the shores of the artificial Lac du Salagou.
-
E.
Orlysiens
Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
- 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: Cerler Triple: [Benasque Valley, hasMajorSettlement, Cerler]
Generated description
Cerler is a Spanish mountain village in the Pyrenees best known for its ski resort, one of the highest and most prominent in the Aragon region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cerler Target entity description: Cerler is a Spanish mountain village in the Pyrenees best known for its ski resort, one of the highest and most prominent in the Aragon region.
-
A.
Clelles
Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
-
B.
Cresserons
Cresserons is a small commune in the Calvados department of the Normandy region in northwestern France.
-
C.
Kileler
Kileler is a municipality and village in the Thessaly region of central Greece, known historically for its agricultural character and the 1910 peasant uprising.
-
D.
Celles
Celles is a small French village in the Hérault department of southern France, known for its picturesque location on the shores of the artificial Lac du Salagou.
-
E.
Orlysiens
Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1cad5c8190a45dfb0f0cc2a512 |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281d8c65081908ebaf4bff5670c47 |
completed | April 29, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69f2b8b73f28819089ac252f7f823efb |
completed | April 30, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f2c4120f448190ac0ac944e77cb20e |
completed | April 30, 2026, 2:53 a.m. |
Created at: April 8, 2026, 9:44 p.m.