Triple
T20891241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khan Abdul Wali Khan |
E514411
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Utmanzai |
—
|
NE NERFINISHED |
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: Utmanzai | Statement: [Khan Abdul Wali Khan, placeOfBirth, Utmanzai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utmanzai Context triple: [Khan Abdul Wali Khan, placeOfBirth, Utmanzai]
-
A.
Utmanzai
chosen
Utmanzai is a town in Pakistan’s Khyber Pakhtunkhwa province known as the birthplace of the prominent non-violent Pashtun independence leader Abdul Ghaffar Khan, also called Frontier Gandhi.
-
B.
Utman Khel
Utman Khel is a Pashtun tribal group traditionally inhabiting parts of the Bajaur region along the Pakistan-Afghanistan border.
-
C.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
-
D.
Khattam-Shud
Khattam-Shud is the primary antagonist in Salman Rushdie’s novel "Haroun and the Sea of Stories," embodying censorship and the desire to silence stories and imagination.
-
E.
Dastar
Dastar is a traditional Sikh turban that serves as both a religious symbol and a cultural marker of identity and honor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d05e307081908f1d044e877017ec |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:46 p.m.