Triple
T15860069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CA 60 |
E384559
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Chino |
E167705
|
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: Chino | Statement: [CA 60, passesThroughCity, Chino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chino Context triple: [CA 60, passesThroughCity, Chino]
-
A.
Chino
chosen
Chino is a city in Southern California known for its agricultural roots, suburban communities, and proximity to major Inland Empire transportation corridors.
-
B.
Chinautla
Chinautla is a municipality in Guatemala known for its significant Poqomam Maya population and preservation of indigenous cultural traditions.
-
C.
Chico
Chico is the impulsive young gunfighter who joins the group of hired protectors in the classic Western film "The Magnificent Seven" (1960).
-
D.
Chico
Chico is a mid-sized city in Northern California known for California State University, Chico, and its large urban park, Bidwell Park.
-
E.
Chico
Chico is one of the Marx Brothers, known for his comic Italian persona, piano playing, and rapid-fire wordplay in their classic films.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555a1f008190bb3f03b0f35ed8a4 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14da7ac8190bbef49a1602a76fe |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.