Triple
T11455097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kohat District |
E271504
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Hangu District |
E287101
|
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: Hangu District | Statement: [Kohat District, borders, Hangu District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hangu District Context triple: [Kohat District, borders, Hangu District]
-
A.
Hangu District
chosen
Hangu District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its strategic location and history of sectarian tensions.
-
B.
Jung District
Jung District is a central administrative and commercial district of Busan, South Korea, known for its historic markets, port-side location, and dense urban landscape.
-
C.
Jung District
Jung District is a central coastal district of Incheon, South Korea, known for encompassing Incheon International Airport and parts of the city’s historic port area.
-
D.
Dangam District
Dangam District is an administrative district located in Afghanistan's mountainous and conflict-affected Kunar Province, near the border with Pakistan.
-
E.
Seoni district
Seoni district is an administrative district in the state of Madhya Pradesh, India, known for its forests, agriculture, and location in the Satpura hill region.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c7057688190ad8aa99426e4ca30 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e903781881908e96c66ecfca2911 |
completed | April 20, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:35 p.m.