Triple
T37764916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passu Peaks |
E941386
|
entity |
| Predicate | nearestGlacier |
P43465
|
FINISHED |
| Object | Passu Glacier |
—
|
NE NERFINISHED |
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 Glacier | Statement: [Passu Peaks, nearestGlacier, Passu Glacier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestGlacier Context triple: [Passu Peaks, nearestGlacier, Passu Glacier]
-
A.
liesNearGlacier
chosen
Indicates that one entity is located in close physical proximity to a glacier.
-
B.
hasNearbyIcefield
Indicates that one entity is located close to an icefield associated with or surrounding another entity.
-
C.
nearestDam
Indicates that one dam is the closest in distance to a given reference location or entity compared to all other dams.
-
D.
nearestOasis
Indicates that one location is the closest oasis to a given reference point compared to all other oases.
-
E.
notableGlacier
Indicates that the subject is a glacier recognized for its particular significance, prominence, or noteworthiness.
- F. None of above.
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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.