Triple
T8073078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Orange |
E188421
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Dana Point, California |
E217883
|
NE 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: Dana Point, California | Statement: [County of Orange, hasCity, Dana Point, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Point, California Context triple: [County of Orange, hasCity, Dana Point, California]
-
A.
Dana Point, California
chosen
Dana Point, California is a coastal city in southern Orange County known for its scenic harbor, beaches, and surfing.
-
B.
Seaside, California
Seaside, California is a coastal city on the Monterey Bay known for its proximity to Monterey and its role as a residential and educational hub on the central California coast.
-
C.
Marina, California
Marina, California is a coastal city in Monterey County known for its beaches, dunes, and proximity to Monterey Bay.
-
D.
Seacliff, California
Seacliff, California is a coastal community in Santa Cruz County known for its state beach and the concrete ship SS Palo Alto at the end of its pier.
-
E.
Surfrider Beach
Surfrider Beach is a famous Malibu surf spot known for its long, rideable waves and iconic Southern California beach culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40482200819086c639f64c01fbb5 |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6e5358888190ad1b5771ca00a097 |
completed | April 3, 2026, 7:37 a.m. |
Created at: March 30, 2026, 5:27 p.m.