Triple
T16771109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 105 |
E407596
|
entity |
| Predicate | passesThrough |
P225
|
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: [Interstate 105, passesThrough, Inglewood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inglewood Context triple: [Interstate 105, passesThrough, 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 village within the town of Caledon in Ontario, Canada, known for its rural charm and proximity to scenic trails and conservation areas.
-
C.
Inglewood
Inglewood is a small settlement located within the Clackmannanshire council area in central Scotland.
-
D.
Inglewood
Inglewood is a small rural town in Queensland, Australia, known for agriculture and its location near the Macintyre Brook.
-
E.
Inglewood
Inglewood is a small rural town in New Zealand’s Taranaki region, known for its dairy farming and proximity to Mount Taranaki.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0361e5081908f58edf766ff3ce0 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c798389c8190aa9865d9aa746da5 |
completed | May 10, 2026, 5:59 p.m. |
Created at: April 10, 2026, 5:21 a.m.