Triple
T5722989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EHC Biel |
E126192
|
entity |
| Predicate | numberOfNationalChampionships |
P66087
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [EHC Biel, numberOfNationalChampionships, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNationalChampionships Context triple: [EHC Biel, numberOfNationalChampionships, 3]
-
A.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
B.
nationalChampionshipTitle
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
C.
nationalChampionshipsWonAsCoach
Indicates the number of national championship titles an individual has won specifically in the role of a coach.
-
D.
collegeTeamChampionships
Indicates the championships or titles that a college sports team has won.
-
E.
numberOfABAChampionships
Indicates the number of championships an entity has won in the American Basketball Association (ABA).
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c47f4c81909e6849c3be3e951c |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:46 p.m.