Triple
T12616678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COL |
E301271
|
entity |
| Predicate | firstSeasonAsAvalanche |
P105923
|
FINISHED |
| Object | 1995–96 NHL season |
—
|
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: 1995–96 NHL season | Statement: [COL, firstSeasonAsAvalanche, 1995–96 NHL season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeasonAsAvalanche Context triple: [COL, firstSeasonAsAvalanche, 1995–96 NHL season]
-
A.
firstWinterAscentDate
Indicates the calendar date on which the first successful winter ascent of something (typically a route, peak, or climb) was completed.
-
B.
firstWinterAscentYear
Indicates the year in which the first successful winter ascent of something (such as a mountain or route) was completed.
-
C.
firstWinterAscentBy
Indicates that the subject was first successfully climbed in winter conditions by the specified person or party.
-
D.
winterAscentFirstBy
Indicates that the referenced ascent is the first successful climb of a route, peak, or face carried out specifically in winter conditions by the specified climber or party.
-
E.
firstSeasonOf
Indicates that one entity is the first season installment belonging to the series or show represented by the other entity.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:12 p.m.