Triple
T20553754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mufti Mohammad Sayeed |
E504663
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Bijbehara |
—
|
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: Bijbehara | Statement: [Mufti Mohammad Sayeed, placeOfBirth, Bijbehara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bijbehara Context triple: [Mufti Mohammad Sayeed, placeOfBirth, Bijbehara]
-
A.
Bijbehara
chosen
Bijbehara is a historic town in the Kashmir Valley of Jammu and Kashmir, India, known for its apple orchards and scenic location along the Jhelum River.
-
B.
Bhind
Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
-
C.
Ghatshila
Ghatshila is a scenic town in Jharkhand, India, known for its forested hills, waterfalls, and literary association with Bengali writer Bibhutibhushan Bandyopadhyay.
-
D.
Bilaspuri
Bilaspuri is an Indo-Aryan language spoken primarily in the Bilaspur region of Himachal Pradesh in northern India.
-
E.
Karauli
Karauli is a historic town and pilgrimage center in the Indian state of Rajasthan, known for its ancient temples and distinctive red sandstone architecture.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5db052c8190801e53f6148113c8 |
completed | April 20, 2026, 10:16 p.m. |
Created at: April 16, 2026, 11:38 a.m.