Triple
T10795745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuqiu Township |
E254700
|
entity |
| Predicate | isDisputedArea |
P15542
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Wuqiu Township, isDisputedArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDisputedArea Context triple: [Wuqiu Township, isDisputedArea, true]
-
A.
hasDisputedSector
Indicates that there exists a sector or area whose ownership, control, or status between the related entities is contested or not mutually agreed upon.
-
B.
hasDisputedCircumscription
Indicates that there is disagreement or uncertainty about how the boundaries or scope of something are formally defined or delimited.
-
C.
locatedInDisputedTerritory
chosen
Indicates that an entity is situated within a geographic area whose sovereignty or ownership is contested between two or more parties.
-
D.
countIsDisputed
Indicates that the reported numerical value (such as a count, total, or tally) is contested or not agreed upon by relevant parties.
-
E.
disputed
Indicates that there is active disagreement or contestation over the validity, ownership, interpretation, or status of the relationship or claim between the entities.
- F. None of above.
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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73332dbfc8190904434846957b618 |
completed | April 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.