Triple
T690397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andorra |
E13377
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Coma Pedrosa
Coma Pedrosa is the tallest mountain in Andorra, known for its rugged alpine terrain and popular hiking routes.
|
E85006
|
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: Coma Pedrosa | Statement: [Andorra, highestPoint, Coma Pedrosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coma Pedrosa Context triple: [Andorra, highestPoint, Coma Pedrosa]
-
A.
Nemocón
Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
-
B.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
C.
Square of Sorrow
Square of Sorrow is a solemn commemorative plaza within the Mamayev Kurgan memorial complex dedicated to honoring the victims and suffering of the Battle of Stalingrad.
-
D.
La Cisterna
La Cisterna is a major southern Santiago Metro station and transport hub that connects multiple metro lines with extensive bus services in Santiago, Chile.
-
E.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
- 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: Coma Pedrosa Triple: [Andorra, highestPoint, Coma Pedrosa]
Generated description
Coma Pedrosa is the tallest mountain in Andorra, known for its rugged alpine terrain and popular hiking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coma Pedrosa Target entity description: Coma Pedrosa is the tallest mountain in Andorra, known for its rugged alpine terrain and popular hiking routes.
-
A.
Nemocón
Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
-
B.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
C.
Square of Sorrow
Square of Sorrow is a solemn commemorative plaza within the Mamayev Kurgan memorial complex dedicated to honoring the victims and suffering of the Battle of Stalingrad.
-
D.
La Cisterna
La Cisterna is a major southern Santiago Metro station and transport hub that connects multiple metro lines with extensive bus services in Santiago, Chile.
-
E.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0ad379c81909003d35c63822780 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dca5b2688190bfe05a165c753211 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5ddeaef148190bb9877cee15959fd |
completed | March 2, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5fea9df3481909331e3e382ad81ae |
completed | March 2, 2026, 9:18 p.m. |
Created at: March 1, 2026, 7:36 p.m.