Triple
T22464298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulon Progo Regency |
E555310
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Wates |
—
|
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: Wates | Statement: [Kulon Progo Regency, seat, Wates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wates Context triple: [Kulon Progo Regency, seat, Wates]
-
A.
Wates
chosen
Wates is an administrative and economic center in Indonesia’s Kulon Progo Regency in the Yogyakarta Special Region.
-
B.
Gateacre
Gateacre is a suburban district in south Liverpool, England, known for its historic village center and mix of Victorian and modern housing.
-
C.
Winstone
Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
-
D.
Wycherly
Wycherly is the surname of Margaret Wycherly, an English-born stage and film actress known for her character roles in early 20th-century American cinema.
-
E.
Slessor
Slessor is a Scottish-origin surname borne by several notable figures, including military leaders and missionaries.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b82549c8190943c0940bb90bafc |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.