Triple
T12443684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent Lomet |
E297341
|
entity |
| Predicate | notableClimb |
P6286
|
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: [Laurent Lomet, notableClimb, Monte Perdido]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Perdido Context triple: [Laurent Lomet, notableClimb, 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.
Mount Tomanivi
Mount Tomanivi is the highest mountain in Fiji, a dormant volcano located on the island of Viti Levu.
-
C.
Pico Mountain
Pico Mountain is a popular ski and snowboard resort in Vermont’s Green Mountains, known for its varied terrain and family-friendly atmosphere.
-
D.
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.
-
E.
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.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8fd9848190a83410353d88ea8d |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af41f6b88190ba3a0b4d531853d7 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:55 p.m.