Triple
T38006389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1953 Nanga Parbat expedition |
E948245
|
entity |
| Predicate | usedRouteOn |
P83751
|
FINISHED |
| Object | Rupal Face |
—
|
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: Rupal Face | Statement: [1953 Nanga Parbat expedition, usedRouteOn, Rupal Face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedRouteOn Context triple: [1953 Nanga Parbat expedition, usedRouteOn, Rupal Face]
-
A.
usedRoutes
chosen
Indicates that an entity has utilized or traveled along specific routes.
-
B.
currentUseOfRoute
Indicates that a particular route is presently being used for a specific purpose, activity, or traffic flow.
-
C.
usedVia
Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
-
D.
usageRoute
Indicates the path, method, or channel through which something is used, applied, or accessed.
-
E.
usesFormerRouteOf
Indicates that one route, service, or pathway currently follows all or part of the alignment or path that was previously used by another route.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:20 p.m.