Triple
T4859471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakima Valley |
E108618
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Grandview |
E395224
|
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: Grandview | Statement: [Yakima Valley, majorCity, Grandview]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grandview Context triple: [Yakima Valley, majorCity, Grandview]
-
A.
Belle Vista
Belle Vista is an alternate name for Lambert Castle, a historic 19th-century mansion and museum located in Paterson, New Jersey.
-
B.
Fairview
Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
-
C.
Fairview
Fairview is a residential neighborhood located within the city of Camden, New Jersey.
-
D.
City of Grandview
chosen
The City of Grandview is a small agricultural community in south-central Washington State known for its fruit orchards, vineyards, and location in the Yakima Valley.
-
E.
Bella Vista
Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d5c92148190a314707bdd3ff30f |
completed | March 20, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6faf39d4819091f76ce321c7e82a |
completed | March 21, 2026, 10:15 a.m. |
Created at: March 20, 2026, 1:26 p.m.