Triple
T5729110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan Abdul Jabbar Khan |
E126337
|
entity |
| Predicate | placeOfBirth |
P1
|
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: [Khan Abdul Jabbar Khan, placeOfBirth, Charsadda District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charsadda District Context triple: [Khan Abdul Jabbar Khan, placeOfBirth, 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.
Gelan District
Gelan District is an administrative district in southeastern Afghanistan, located within Ghazni Province.
-
C.
Salhiya district
Salhiya district is a central neighborhood in Kuwait City known for its commercial complexes, offices, and residential areas.
-
D.
Siha District
Siha District is an administrative district in northern Tanzania, located within the Kilimanjaro Region near the slopes of Mount Kilimanjaro.
-
E.
Rashidan District
Rashidan District is an administrative district in central Afghanistan known for its rural communities within Ghazni Province.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250d5f4c8190a36b43ef5e6c7837 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8cca748190b471c842fd2ce218 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.