Triple
T3853501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capcir |
E85354
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Les Angles
Les Angles is a ski resort village in the French Pyrenees known for its alpine slopes and mountain tourism.
|
E392508
|
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: Les Angles | Statement: [Capcir, contains, Les Angles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Angles Context triple: [Capcir, contains, Les Angles]
-
A.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
B.
La Russa
La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
-
C.
France
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
-
D.
Wallia
Wallia was a 5th-century king of the Visigoths known for leading his people in campaigns and negotiations with the Western Roman Empire that helped establish the Visigothic presence in Gaul and Hispania.
-
E.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
- 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: Les Angles Triple: [Capcir, contains, Les Angles]
Generated description
Les Angles is a ski resort village in the French Pyrenees known for its alpine slopes and mountain tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Angles Target entity description: Les Angles is a ski resort village in the French Pyrenees known for its alpine slopes and mountain tourism.
-
A.
Fransat
Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
-
B.
La Russa
La Russa is an Italian surname most prominently associated with Hall of Fame Major League Baseball manager Tony La Russa.
-
C.
France
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
-
D.
Wallia
Wallia was a 5th-century king of the Visigoths known for leading his people in campaigns and negotiations with the Western Roman Empire that helped establish the Visigothic presence in Gaul and Hispania.
-
E.
Fran
Fran is a common shortened given name, typically used as a diminutive of Frances or Francis.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec0438308190865ff74bee5a1cf2 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5041c7250819093b2743afeb6e36c |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504c46dcc8190a9775c39e5c734a9 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b505742830819093a861bde17c03c0 |
completed | March 14, 2026, 6:51 a.m. |
Created at: March 9, 2026, 3:19 p.m.