Triple
T16735152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multan District |
E406696
|
entity |
| Predicate | borderedByDistrict |
P224
|
FINISHED |
| Object | Lodhran District |
E1217763
|
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: Lodhran District | Statement: [Multan District, borderedByDistrict, Lodhran District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lodhran District Context triple: [Multan District, borderedByDistrict, Lodhran District]
-
A.
Lodhran District
chosen
Lodhran District is an administrative district in the Punjab province of Pakistan, situated within the Multan Division and known for its predominantly agricultural economy.
-
B.
Khadir District
Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
-
C.
Miyan Nasheen District
Miyan Nasheen District is an administrative district located in the northern part of Kandahar Province in southern Afghanistan.
-
D.
Sheema District
Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
-
E.
Radfan District
Radfan District is an administrative area in Yemen that encompasses the historically significant and strategically important Radfan mountains.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c39c570819088723d59242c5c5c |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4c723c8190ad92628f4164d11c |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.