Triple
T14181048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dariba Kalan |
E351451
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Kinari Bazaar |
E351452
|
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: Kinari Bazaar | Statement: [Dariba Kalan, adjacentTo, Kinari Bazaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinari Bazaar Context triple: [Dariba Kalan, adjacentTo, Kinari Bazaar]
-
A.
Kinari Bazaar
chosen
Kinari Bazaar is a famous traditional market in Old Delhi known for its ornate wedding accessories, decorative trimmings, and festive fabrics.
-
B.
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.
-
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.
Lakkar Bazaar
Lakkar Bazaar is a popular wooden handicrafts market and shopping area in Shimla, known for its traditional souvenirs and vibrant local atmosphere.
-
E.
Sarafa Bazaar
Sarafa Bazaar is a famous marketplace in Indore known for its jewelry shops by day and vibrant street food scene by night.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61ca3ad88190944850c97760dcbf |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf8114774819094670dd800a40796 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:02 a.m.