Triple
T12916287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peshawar–Charsadda Road |
E308991
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Charsadda District |
E277515
|
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: Charsadda District | Statement: [Peshawar–Charsadda Road, locatedIn, Charsadda District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charsadda District Context triple: [Peshawar–Charsadda Road, locatedIn, Charsadda District]
-
A.
Charsadda District
chosen
Charsadda District is an administrative district in Pakistan’s Khyber Pakhtunkhwa province, known for its rich historical heritage and agricultural economy.
-
B.
Shwak District
Shwak District is an administrative district located in Paktia Province in eastern Afghanistan.
-
C.
Baabda District
Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
-
D.
Gelan District
Gelan District is an administrative district in southeastern Afghanistan, located within Ghazni Province.
-
E.
Salhiya district
Salhiya district is a central neighborhood in Kuwait City known for its commercial complexes, offices, and residential areas.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fefdd3d8819091196f68c2fd5ad0 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 5:41 p.m.