Triple
T14331307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musical fountains at Gulzar Houz |
E355352
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Laad Bazaar |
E349848
|
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: Laad Bazaar | Statement: [Musical fountains at Gulzar Houz, near, Laad Bazaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laad Bazaar Context triple: [Musical fountains at Gulzar Houz, near, Laad Bazaar]
-
A.
Laad Bazaar
chosen
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.
-
B.
Lakkar Bazaar
Lakkar Bazaar is a popular wooden handicrafts market and shopping area in Shimla, known for its traditional souvenirs and vibrant local atmosphere.
-
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.
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.
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.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c3d20688190973e37ca38b4afe0 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:13 a.m.