Triple
T7280391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinhold Messner |
E163131
|
entity |
| Predicate | climbed |
P6287
|
FINISHED |
| Object | Nanga Parbat |
E88387
|
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: Nanga Parbat | Statement: [Reinhold Messner, climbed, Nanga Parbat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanga Parbat Context triple: [Reinhold Messner, climbed, Nanga Parbat]
-
A.
Nanga Parbat
chosen
Nanga Parbat is one of the world’s highest and most notoriously challenging mountains, located in the western Himalayas of Pakistan.
-
B.
Tirich Mir
Tirich Mir is a towering mountain peak in Pakistan’s Chitral region, renowned as the highest summit in the Hindu Kush range.
-
C.
Mani Parbat
Mani Parbat is a revered hill in Ayodhya associated with Hindu religious significance and pilgrimage.
-
D.
Gasherbrum I
Gasherbrum I is one of the world’s fourteen eight-thousanders, a major peak of the Karakoram range on the Pakistan–China border and among the highest mountains on Earth.
-
E.
Rakaposhi
Rakaposhi is a prominent 7,788-meter peak in the Karakoram range of northern Pakistan, renowned for its dramatic rise above the surrounding valleys and its striking, pyramid-like profile.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb339b1081909f648864e210f98e |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827604a808190a362734e864123aa |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 2:59 p.m.