Triple
T886064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Los Angeles Area |
E19132
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Newport Beach |
E141779
|
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: Newport Beach | Statement: [Greater Los Angeles Area, containsCity, Newport Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newport Beach Context triple: [Greater Los Angeles Area, containsCity, Newport Beach]
-
A.
Newport Beach
chosen
Newport Beach is a coastal city in Southern California known for its affluent residential communities, extensive harbor, and popular beaches.
-
B.
Huntington Beach
Huntington Beach is a coastal city in Southern California known for its long sandy beaches, surf culture, and vibrant seaside community.
-
C.
Santa Monica
Santa Monica is a coastal city in western Los Angeles County, California, known for its iconic pier, beaches, and vibrant tourism and entertainment scene.
-
D.
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.
-
E.
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.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ace714ec81909b0b1deaeac66be5 |
completed | March 1, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad5187234c8190aeaaf8f4b3b055cb |
completed | March 8, 2026, 10:37 a.m. |
Created at: March 1, 2026, 7:39 p.m.