Triple
T22997662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ping-tung County |
E572545
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Kanding Township |
—
|
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: Kanding Township | Statement: [Ping-tung County, contains, Kanding Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanding Township Context triple: [Ping-tung County, contains, Kanding Township]
-
A.
Kanding Township
chosen
Kanding Township is a rural administrative township located in Pingtung County in southern Taiwan.
-
B.
Kinsman Township
Kinsman Township is a rural community in northeastern Ohio known for its historic town center and small-town character.
-
C.
Evanturel Township
Evanturel Township is a small rural municipality located in northeastern Ontario, Canada, within the Timiskaming District.
-
D.
Paipoonge Township
Paipoonge Township is a rural community in northwestern Ontario, Canada, that forms part of the Municipality of Oliver Paipoonge.
-
E.
Tamu Township
Tamu Township is an administrative township in northwestern Myanmar, located in the Sagaing Region along the border with India.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f452b48190951fc5dde56c1bb2 |
completed | April 29, 2026, 4:03 a.m. |
Created at: April 17, 2026, 3:50 p.m.