Triple
T22298274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodyear |
E551180
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Gila River |
—
|
NE NERFINISHED |
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: Gila River | Statement: [Goodyear, near, Gila River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gila River Context triple: [Goodyear, near, Gila River]
-
A.
Gila River
chosen
The Gila River is a major waterway in the southwestern United States that flows through New Mexico and Arizona before joining the Colorado River.
-
B.
Salt River
Salt River is a tributary of the Ohio River in Kentucky that flows through several counties and has historically been important for local transportation and settlement.
-
C.
Salt River
The Salt River is a significant river in central Arizona that flows through the Phoenix metropolitan area and serves as a major source of water and recreation in the region.
-
D.
Salt River
Salt River is a river in northeastern Missouri that serves as the primary tributary feeding Mark Twain Lake and ultimately flows into the Mississippi River.
-
E.
Gila
Gila is a character in the story "One for the Road," playing a role within its narrative events and relationships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572200c88190b9413286136fef15 |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.