Triple
T6986378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numaish Chowrangi |
E161972
|
entity |
| Predicate | nearbyLandmark |
P350
|
FINISHED |
| Object | Soldier Bazaar |
E628931
|
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: Soldier Bazaar | Statement: [Numaish Chowrangi, nearbyLandmark, Soldier Bazaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soldier Bazaar Context triple: [Numaish Chowrangi, nearbyLandmark, Soldier Bazaar]
-
A.
Soldier Bazaar
chosen
Soldier Bazaar is a historic and bustling commercial and residential neighborhood in Karachi, Pakistan, known for its traditional markets and dense urban character.
-
B.
Johari Bazaar
Johari Bazaar is a famous traditional market in Jaipur, India, renowned for its jewelry, gemstones, and vibrant Rajasthani handicrafts.
-
C.
Sarafa Bazaar
Sarafa Bazaar is a famous marketplace in Indore known for its jewelry shops by day and vibrant street food scene by night.
-
D.
Raja Bazaar
Raja Bazaar is a major, densely packed commercial and shopping area in Rawalpindi, Pakistan, known for its traditional markets, wholesale trade, and bustling street life.
-
E.
Resham Bazaar
Resham Bazaar is a prominent traditional marketplace in Hyderabad, Sindh, known for its vibrant trade in textiles, handicrafts, and local goods.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db93c0ac8190a752a633247bb439 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761cfda14819088e11889f0151a37 |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:32 p.m.