Triple
T30663023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Mesa, California |
E780582
|
entity |
| Predicate | hasFairground |
P45264
|
FINISHED |
| Object | OC Fair & Event Center |
—
|
NE NERFINISHED |
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: OC Fair & Event Center | Statement: [Costa Mesa, California, hasFairground, OC Fair & Event Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFairground Context triple: [Costa Mesa, California, hasFairground, OC Fair & Event Center]
-
A.
hasShowground
chosen
Indicates that an entity possesses, contains, or is associated with a designated showground area for events or exhibitions.
-
B.
hasFestivalAttraction
Indicates that a festival includes or features a particular attraction as part of its offerings.
-
C.
hasFair
Indicates that an entity organizes, hosts, or is associated with a fair or similar event.
-
D.
hasInfieldAmusementFacilities
Indicates that an entity provides or contains amusement or recreational facilities located within its infield area.
-
E.
hasCountyFair
Indicates that a place or region hosts or holds a county fair event.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: April 29, 2026, 8:31 p.m.