Triple
T23046447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayrshire coast |
E573888
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Irvine |
—
|
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: Irvine | Statement: [Ayrshire coast, hasTown, Irvine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irvine Context triple: [Ayrshire coast, hasTown, Irvine]
-
A.
Irvine
chosen
Irvine is a coastal town in North Ayrshire, Scotland, known historically as a royal burgh and port on the Firth of Clyde.
-
B.
Irvine
Irvine is a master-planned city in Orange County, California, known for its affluent residential communities, strong public schools, and concentration of technology and education industries.
-
C.
Irvine
Irvine is a small hamlet in southeastern Alberta, Canada, situated along the Trans-Canada Highway east of Medicine Hat.
-
D.
Costa Mesa
Costa Mesa is a city in Orange County, California, known for its major shopping centers, arts and theater district, and proximity to Southern California beaches.
-
E.
El Cajon
El Cajon is a suburban city in Southern California’s East County region, located just east of San Diego.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185192754819093a87d23371e7bbc |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.