Triple
T9814854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culver City |
E238374
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Inglewood |
E229387
|
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: Inglewood | Statement: [Culver City, adjacentTo, Inglewood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inglewood Context triple: [Culver City, adjacentTo, Inglewood]
-
A.
Inglewood
chosen
Inglewood is a city in southwestern Los Angeles County, California, known for its major sports and entertainment venues such as SoFi Stadium and the Kia Forum.
-
B.
Inglewood
Inglewood is a small rural town in New Zealand’s Taranaki region, known for its dairy farming and proximity to Mount Taranaki.
-
C.
Inglewood
Inglewood is a small village within the town of Caledon in Ontario, Canada, known for its rural charm and proximity to scenic trails and conservation areas.
-
D.
Maywood
Maywood is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
-
E.
Huntington Park
Huntington Park is a small, elegant urban park in San Francisco’s Nob Hill neighborhood, known for its manicured lawns, fountain, and views of surrounding historic landmarks.
- 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_69ca84dfde1481909f47c286d715f892 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f19660819083e3f15780352052 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5b264c88190bf16c8c32c360878 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:30 p.m.