Triple
T2680375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute Randonnée Pyrénéenne |
E56557
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Monte Perdido |
E60232
|
NE FINISHED |
How this triple was built (2 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: Monte Perdido | Statement: [Haute Randonnée Pyrénéenne, passesNear, Monte Perdido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Perdido Context triple: [Haute Randonnée Pyrénéenne, passesNear, Monte Perdido]
-
A.
Monte Perdido
chosen
Monte Perdido is the third-highest mountain in the Pyrenees, renowned for its dramatic limestone massif and location within Spain’s Ordesa y Monte Perdido National Park.
-
B.
Cerro Torre
Cerro Torre is a dramatic, needle-like granite peak in the Southern Patagonian Ice Field, famed among climbers for its extreme difficulty, fierce weather, and iconic ice-capped summit.
-
C.
Picota peak
Picota peak is a prominent mountain summit in Portugal’s Serra de Monchique range, known for its panoramic views over the Algarve region.
-
D.
Mulhacén
Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
-
E.
Pico de Aneto
Pico de Aneto is the highest mountain in the Pyrenees, renowned for its extensive glaciers and challenging alpine routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d36ea8819094ada73d86ffaa8b |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb6de488190a0fb87efc7297ccb |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:54 p.m.