Triple
T3864002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rustem Pasha Mosque |
E91805
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Spice Bazaar |
E164995
|
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: Spice Bazaar | Statement: [Rustem Pasha Mosque, near, Spice Bazaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spice Bazaar Context triple: [Rustem Pasha Mosque, near, Spice Bazaar]
-
A.
Spice Bazaar
chosen
The Spice Bazaar is a historic covered market in Istanbul renowned for its vibrant stalls selling spices, sweets, teas, and other traditional Turkish goods.
-
B.
Shahi Bazaar
Shahi Bazaar is a historic and bustling traditional market in Hyderabad, Sindh, known for its narrow lanes, vibrant shops, and local handicrafts.
-
C.
Grand Bazaar
The Grand Bazaar is one of the world’s largest and oldest covered markets, famous for its maze-like alleys filled with shops selling carpets, jewelry, spices, and traditional crafts.
-
D.
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.
-
E.
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.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3871d881909c6c8e6d08203801 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5123ad9188190a158721a6192cdae |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:19 p.m.