Triple
T12812129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 92 |
E306296
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Hayward |
E19635
|
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: Hayward | Statement: [State Route 92, serves, Hayward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayward Context triple: [State Route 92, serves, Hayward]
-
A.
Hayward
chosen
Hayward is a mid-sized city in the San Francisco Bay Area known for its diverse population, industrial and logistics hubs, and role as a transportation crossroads in Alameda County.
-
B.
Hayward
Hayward is a surname shared by various notable individuals across fields such as the arts, sports, and public life.
-
C.
Atherton
Atherton is an affluent residential town in San Mateo County, California, known for its large estates and high property values.
-
D.
Atherton
Atherton is a small town in Queensland, Australia, known as a service and commercial hub for the surrounding Atherton Tablelands agricultural region.
-
E.
Atherton
Atherton is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage and residential communities.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9adcf08190a12801adcc613477 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a544badc8190877c39728e57af6f |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:31 p.m.