Triple
T12792723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K2 base camp |
E305809
|
entity |
| Predicate | trekDurationApprox |
P106942
|
FINISHED |
| Object | 10–14 days from roadhead |
—
|
LITERAL 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: 10–14 days from roadhead | Statement: [K2 base camp, trekDurationApprox, 10–14 days from roadhead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trekDurationApprox Context triple: [K2 base camp, trekDurationApprox, 10–14 days from roadhead]
-
A.
trekType
Indicates the specific category or style of trekking activity associated with an entity.
-
B.
dayOfTrek
Indicates the specific day or stage within a multi-day trek on which an event, action, or condition occurs.
-
C.
trekStage
Indicates a specific segment or leg within a longer trek or journey, typically ordered as part of a multi-stage route.
-
D.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
E.
trekSeason
Indicates that something occurs during, is associated with, or is designated as a particular season of a trek or trekking activity.
- F. None of above. chosen
Provenance (4 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:30 p.m.