Triple
T7356452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diu |
E169638
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Diu district |
E169634
|
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: Diu district | Statement: [Diu, partOf, Diu district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diu district Context triple: [Diu, partOf, Diu district]
-
A.
Diu district
chosen
Diu district is a coastal administrative district of India known for its former Portuguese colonial heritage, beaches, and historic fortifications.
-
B.
Dausa district
Dausa district is an administrative district in the Indian state of Rajasthan, known for its historical sites, rural landscapes, and proximity to Jaipur.
-
C.
Saha District
Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
-
D.
Duki District
Duki District is an administrative district in Pakistan’s Balochistan province, situated within its predominantly Pashtun-inhabited region.
-
E.
Pujehun District
Pujehun District is an administrative district in the Southern Province of Sierra Leone, known for its predominantly Mende population and largely rural, agricultural communities.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13a62e48190a2d1781a630aa9f0 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa6a5d88190b969b7783edc67b7 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:06 p.m.