Triple
T1602551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Storm (ice hockey, former) |
E34426
|
entity |
| Predicate | setAttendanceRecordForUKIceHockey |
P30649
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Manchester Storm (ice hockey, former), setAttendanceRecordForUKIceHockey, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setAttendanceRecordForUKIceHockey Context triple: [Manchester Storm (ice hockey, former), setAttendanceRecordForUKIceHockey, yes]
-
A.
recordAttendanceCompetition
Indicates that an entity records or logs attendance information for a competition or competitive event.
-
B.
recordAttendance
Indicates that an entity documents or logs the presence or participation of another entity at a specific event, session, or time.
-
C.
IIHFCode
Indicates the standardized code assigned by the International Ice Hockey Federation (IIHF) to identify a national ice hockey association or team.
-
D.
WorldCupOfHockeyParticipant
Indicates that an entity took part as a team or competitor in a World Cup of Hockey tournament.
-
E.
hasIceArena
Indicates that one entity possesses, contains, or includes an ice arena as a facility or feature.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.