Triple
T37188489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hagemeister Park |
E921383
|
entity |
| Predicate | spectatorAccommodation |
P50637
|
FINISHED |
| Object | temporary bleachers |
—
|
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: temporary bleachers | Statement: [Hagemeister Park, spectatorAccommodation, temporary bleachers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spectatorAccommodation Context triple: [Hagemeister Park, spectatorAccommodation, temporary bleachers]
-
A.
hasSpectatorAmenities
chosen
Indicates that a place or facility provides amenities or features intended for the comfort or convenience of spectators.
-
B.
spectatorType
Indicates the role or category of a spectator in relation to an event or activity.
-
C.
spectatorEnvironment
Indicates the environmental conditions or setting in which a spectator observes an event or activity.
-
D.
spectatorAppeal
Indicates that an action, event, or entity is appealing, entertaining, or attractive to spectators or an audience.
-
E.
spectatorAreaType
Indicates the specific kind or category of area designated for spectators in a venue or event setting.
- F. None of above.
Provenance (3 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.