Triple
T13957366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batura Muztagh |
E335700
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object | Passu Sar |
E927141
|
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: Passu Sar | Statement: [Batura Muztagh, hasPeak, Passu Sar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passu Sar Context triple: [Batura Muztagh, hasPeak, Passu Sar]
-
A.
Passu Sar
chosen
Passu Sar is a prominent, remote peak in Pakistan’s Karakoram range, known for its dramatic glaciated slopes and challenging mountaineering routes.
-
B.
Sasar
Sasar is an alternative name for the Lemerig language spoken on the island of Vanua Lava in Vanuatu.
-
C.
Amukta Pass
Amukta Pass is a major maritime strait in the central Aleutian Islands of Alaska, providing an important passage between the North Pacific Ocean and the Bering Sea.
-
D.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
E.
Passu
Passu is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, renowned for its dramatic mountain scenery, including the Passu Cones, and its location along the Karakoram Highway.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7a34f08190aa0d88b66154f268 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d27a0c8190b5d95ea86fc1a420 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.