Triple
T37956755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huntington Park |
E946886
|
entity |
| Predicate | supportsNightGames |
P204490
|
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: [Huntington Park, supportsNightGames, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsNightGames Context triple: [Huntington Park, supportsNightGames, yes]
-
A.
playsHomeNightGames
Indicates that an entity regularly hosts and participates in games or events at its home venue during nighttime.
-
B.
hasNightRaces
Indicates that the subject hosts or includes races that take place at night.
-
C.
dayNightMatchesAllowed
Indicates that matches are permitted to be scheduled or played during both daytime and nighttime.
-
D.
dayNightMatches
Indicates that two time-related entities correspond in terms of being in the same phase of the day–night cycle (e.g., both are during daytime or both are during nighttime).
-
E.
nightSeriesWinner
Indicates that one entity is the winner of a particular night’s series or session in a recurring competition or event.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.