Triple
T6430273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khumbu Icefall |
E128160
|
entity |
| Predicate | bestTimeToCross |
P22182
|
FINISHED |
| Object | early morning |
—
|
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: early morning | Statement: [Khumbu Icefall, bestTimeToCross, early morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestTimeToCross Context triple: [Khumbu Icefall, bestTimeToCross, early morning]
-
A.
approximateCrossingTime
chosen
Indicates an estimated point in time when one entity is expected to cross or intersect another (such as a path, boundary, or trajectory).
-
B.
crossingOf
Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
-
C.
bestCrossed
Indicates that one entity has surpassed or exceeded another in a crossing-related context, such as achieving the most successful or optimal crossing among alternatives.
-
D.
crossingRequiredFor
Indicates that a particular crossing (such as a bridge, tunnel, or intersection) is necessary to move from one location or path to another.
-
E.
crossingDirection
Indicates the direction in which one entity moves or passes across another reference point, boundary, or path.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693b872c819082a7d0e257018831 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:44 p.m.