Triple
T2420130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Angeles Basin |
E53399
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Huntington Beach |
E180348
|
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: Huntington Beach | Statement: [Los Angeles Basin, contains, Huntington Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huntington Beach Context triple: [Los Angeles Basin, contains, Huntington Beach]
-
A.
Huntington Beach
chosen
Huntington Beach is a coastal city in Southern California known for its long sandy beaches, surf culture, and vibrant seaside community.
-
B.
Newport Beach
Newport Beach is a coastal city in Southern California known for its affluent residential communities, extensive harbor, and popular beaches.
-
C.
Laguna Beach
Laguna Beach is a coastal Southern California city renowned for its scenic beaches, vibrant arts community, and historic role as a hub for the California Impressionist art movement.
-
D.
Anaheim
Anaheim is a major city in Orange County, California, best known as the home of the Disneyland Resort and a significant hub for tourism and entertainment in the region.
-
E.
Long Beach
Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc96e1b3881909de57501b5d4099a |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc01d9b40819089e6a59164e64949 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:42 p.m.