Triple
T5315719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyderabad (Sindh) |
E119141
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Shahi Bazaar |
E167074
|
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: Shahi Bazaar | Statement: [Hyderabad (Sindh), hasLandmark, Shahi Bazaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahi Bazaar Context triple: [Hyderabad (Sindh), hasLandmark, Shahi Bazaar]
-
A.
Shahi Bazaar
chosen
Shahi Bazaar is a historic and bustling traditional market in Hyderabad, Sindh, known for its narrow lanes, vibrant shops, and local handicrafts.
-
B.
Anarkali Bazaar
Anarkali Bazaar is one of the oldest and busiest traditional markets in Lahore, Pakistan, known for its dense network of shops selling clothing, jewelry, handicrafts, and street food.
-
C.
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.
-
D.
Vakil Bazaar
Vakil Bazaar is a historic covered market in Shiraz, Iran, renowned for its traditional architecture and vibrant trade in local goods and handicrafts.
-
E.
Laad Bazaar
Laad Bazaar is a historic and bustling market in Hyderabad, India, famed for its traditional lacquer bangles, bridal wear, and old-city charm near the Charminar.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854eb3248190b42a4b52f1c81bef |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf110e89548190a5eb0bad6ab0483b |
completed | March 21, 2026, 9:43 p.m. |
Created at: March 20, 2026, 1:54 p.m.