Triple
T7491096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1955 British Kangchenjunga expedition |
E177005
|
entity |
| Predicate | summitPractice |
P77841
|
FINISHED |
| Object | stoppedShortOfTrueSummit |
—
|
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: stoppedShortOfTrueSummit | Statement: [1955 British Kangchenjunga expedition, summitPractice, stoppedShortOfTrueSummit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: summitPractice Context triple: [1955 British Kangchenjunga expedition, summitPractice, stoppedShortOfTrueSummit]
-
A.
summitView
Indicates a vantage point or perspective that is obtained from the top or highest point of something, such as a mountain or structure.
-
B.
summitEnvironment
Indicates the environmental conditions or context present at the summit of a mountain or peak.
-
C.
higherSummit
Indicates that one summit is higher in elevation than another summit.
-
D.
summitCount
Indicates the number of summits or peak ascents associated with an entity.
-
E.
summitShape
Indicates the geometric form or contour that characterizes the topmost point or summit of an object or landform.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f8184bb08190b2f70545a6aa277c |
completed | March 27, 2026, 9:35 p.m. |
Created at: March 27, 2026, 3:43 p.m.