Triple
T33817660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilicho Peak |
E866734
|
entity |
| Predicate | firstAscentMonth |
P206681
|
FINISHED |
| Object | October |
—
|
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: October | Statement: [Tilicho Peak, firstAscentMonth, October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAscentMonth Context triple: [Tilicho Peak, firstAscentMonth, October]
-
A.
firstWinterAscentDate
Indicates the calendar date on which the first successful winter ascent of something (typically a route, peak, or climb) was completed.
-
B.
firstAscentYear
Indicates the calendar year in which something (typically a route, peak, or climb) was first successfully ascended.
-
C.
firstFreeAscentDate
Indicates the date on which the first successful ascent of a route, peak, or climb was completed without the use of artificial aids for upward progress.
-
D.
firstWinterAscentYear
Indicates the year in which the first successful winter ascent of something (such as a mountain or route) was completed.
-
E.
firstFreeAscentStartDate
Indicates the calendar date on which the first successful, previously unclimbed ascent of something (e.g., a route or peak) began.
- 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:46 a.m.