Triple
T12832163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pink City |
E306814
|
entity |
| Predicate | famousMarket |
P107130
|
FINISHED |
| Object | Bapu Bazaar |
E951470
|
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: Bapu Bazaar | Statement: [Pink City, famousMarket, Bapu Bazaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bapu Bazaar Context triple: [Pink City, famousMarket, Bapu Bazaar]
-
A.
Bapu Bazaar
chosen
Bapu Bazaar is a popular traditional market in Jaipur, India, known for its vibrant shops selling textiles, handicrafts, and local Rajasthani goods.
-
B.
Palika Bazaar
Palika Bazaar is a large underground market in New Delhi, India, known for its wide range of inexpensive goods and bustling atmosphere.
-
C.
Meena Bazaar
Meena Bazaar is a bustling traditional market area in Dubai known for its gold jewelry, textiles, and South Asian shops and eateries.
-
D.
Zaveri Bazaar
Zaveri Bazaar is one of Mumbai’s oldest and busiest commercial districts, renowned as a major hub for gold, diamond, and jewelry trading in India.
-
E.
Lakkar Bazaar
Lakkar Bazaar is a popular wooden handicrafts market and shopping area in Shimla, known for its traditional souvenirs and vibrant local atmosphere.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc53060819090a126f15428e411 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54838888190804202e45a55de48 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:34 p.m.