Triple
T21938908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kasur |
E541763
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Kasur District |
—
|
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: Kasur District | Statement: [Kasur, capitalOf, Kasur District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasur District Context triple: [Kasur, capitalOf, Kasur District]
-
A.
Kasur district
chosen
Kasur district is an administrative region in Pakistan’s Punjab province, located along the India–Pakistan border opposite Ferozepur and known for its agricultural economy and historical significance.
-
B.
Buk District
Buk District is an administrative district in the northern part of Daegu, South Korea, known for its residential neighborhoods and urban infrastructure.
-
C.
Buk District
Buk District is an administrative district (gu) in the northern part of Busan, South Korea, known for its residential neighborhoods and local commercial centers.
-
D.
Yanatile District
Yanatile District is an administrative district located within Calca Province in Peru's Cusco Region, known for its Andean landscapes and rural communities.
-
E.
Nooken District
Nooken District is an administrative district in southwestern Kyrgyzstan, located within the Jalal-Abad Region.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241f582c81909a244419cec38b19 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:55 p.m.