Triple
T6850403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Slam |
E157999
|
entity |
| Predicate | associatedWithOnSiteFeature |
P44691
|
FINISHED |
| Object | fan zones |
—
|
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: fan zones | Statement: [The Happy Slam, associatedWithOnSiteFeature, fan zones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOnSiteFeature Context triple: [The Happy Slam, associatedWithOnSiteFeature, fan zones]
-
A.
associatedSiteType
Indicates the type or category of site with which an entity is associated.
-
B.
associatedWithFront
Indicates a relationship where one entity is linked or connected specifically to the front part, side, or face of another entity.
-
C.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
-
D.
containsSite
Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
-
E.
associatedWithSetting
chosen
Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84c45708190918adfc028252400 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.