Triple
T13075833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghazipur district |
E329569
|
entity |
| Predicate | borderedByDistrict |
P224
|
FINISHED |
| Object | Mau district |
E327015
|
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: Mau district | Statement: [Ghazipur district, borderedByDistrict, Mau district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mau district Context triple: [Ghazipur district, borderedByDistrict, Mau district]
-
A.
Mau district
chosen
Mau district is an administrative region in the Indian state of Uttar Pradesh, known for its textile industry and location in the eastern Purvanchal area.
-
B.
Susut District
Susut District is an administrative district in Bali, Indonesia, located within Bangli Regency and known for its rural villages and traditional Balinese culture.
-
C.
Kole District
Kole District is a rural administrative district in northern Uganda, situated in the Lango sub-region and known for agriculture as its main economic activity.
-
D.
Tembuku District
Tembuku District is an administrative district in the regency of Bangli on the island of Bali, Indonesia.
-
E.
Huli District
Huli District is an urban district of Xiamen in Fujian Province, China, known for its role as a commercial and transportation hub including part of Xiamen Island and the city's airport.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff051bc88190a55c55377a352d3b |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 9:01 p.m.