Triple
T15864022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowland Heights |
E384662
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Walnut |
E1135842
|
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: Walnut | Statement: [Rowland Heights, locatedNear, Walnut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walnut Context triple: [Rowland Heights, locatedNear, Walnut]
-
A.
Walnut
chosen
Walnut is a suburban city in Los Angeles County, California, known for its residential character, strong public schools, and location in the eastern San Gabriel Valley.
-
B.
Walnut
Walnut is the former name of Winona, a small community in northern Arizona known for its association with historic Route 66.
-
C.
Cherrywood
Cherrywood is a suburban area in south Dublin, Ireland, known for its modern residential and business developments and served by the Luas light rail system.
-
D.
Clinch Leatherwood
Clinch Leatherwood is the ruthless outlaw gunslinger who serves as the main antagonist in the comedy Western film "A Million Ways to Die in the West."
-
E.
Cherry Tree Wood
Cherry Tree Wood is a public woodland park in North London known for its mature trees, open green spaces, and recreational facilities for local residents.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1555d38fc8190bd8820bb5b238b71 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa945d9808190a65f5182db341393 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.