Triple
T15496232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sardar Ibrahim Khan |
E378824
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Poonch |
E804371
|
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: Poonch | Statement: [Sardar Ibrahim Khan, birthPlace, Poonch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poonch Context triple: [Sardar Ibrahim Khan, birthPlace, Poonch]
-
A.
Poonch
chosen
Poonch is a town in the Jammu and Kashmir region of India, known for its historical forts and scenic mountainous surroundings near the Line of Control.
-
B.
Kachh
Kachh is a traditional Sikh undergarment and one of the five articles of faith (the Five Ks) worn by initiated Sikhs.
-
C.
Kargil district
Kargil district is a mountainous administrative region in the Union Territory of Ladakh in northern India, known for its strategic location near the Line of Control and its culturally diverse, predominantly Muslim population.
-
D.
Kathua
Kathua is a town and district in the Indian union territory of Jammu and Kashmir, known as a gateway to the region and an important administrative and commercial center.
-
E.
Baddi
Baddi is an industrial town in the Solan district of Himachal Pradesh, India, known for its large concentration of pharmaceutical and manufacturing units.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d48f17c819088c4d8c2d2b368c8 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:52 a.m.