Triple
T11837121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nushki District |
E281545
|
entity |
| Predicate | hasBorder |
P224
|
FINISHED |
| Object | Kharan District |
E273614
|
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: Kharan District | Statement: [Nushki District, hasBorder, Kharan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kharan District Context triple: [Nushki District, hasBorder, Kharan District]
-
A.
Kharan District
chosen
Kharan District is an administrative district in the Balochistan province of Pakistan, known for its arid desert landscape and sparse population.
-
B.
Kharan
Kharan is a town in Balochistan, Pakistan, serving as the administrative center of Kharan District.
-
C.
Barkhan District
Barkhan District is an administrative district in the northeastern part of Pakistan’s Balochistan province, known for its rugged terrain and predominantly tribal population.
-
D.
Karak District
Karak District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its Pashtun population and significant oil and gas reserves.
-
E.
Rat Burana District
Rat Burana District is a riverside administrative district in Bangkok, Thailand, known for its industrial areas and key transport links across the Chao Phraya River.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62fec0881908c7b89c0b5bcc9a2 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16765aac481908b4cb474b141d842 |
completed | April 29, 2026, 2:05 a.m. |
Created at: April 8, 2026, 9:43 p.m.