Triple
T38006415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1953 Nanga Parbat expedition |
E948245
|
entity |
| Predicate | hasBaseCampOn |
P187752
|
FINISHED |
| Object | Rupal side of Nanga Parbat |
—
|
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 side of Nanga Parbat | Statement: [1953 Nanga Parbat expedition, hasBaseCampOn, Rupal side of Nanga Parbat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseCampOn Context triple: [1953 Nanga Parbat expedition, hasBaseCampOn, Rupal side of Nanga Parbat]
-
A.
baseCampFor
chosen
Indicates that one location serves as the primary staging or support site for activities conducted in another location.
-
B.
baseCampType
Indicates the specific category or type assigned to a base camp within a given context or system.
-
C.
baseCampArrival
Indicates the event or state of an entity reaching and arriving at a designated base camp location.
-
D.
hadCamp
Indicates that an entity conducted, hosted, or participated in a camp event or camping activity.
-
E.
aboveBaseCamp
Indicates that one entity is located at a higher vertical position or elevation than the base camp.
- 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_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: May 3, 2026, 4:20 p.m.