Triple
T16400486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahore, Punjab, British India |
E398296
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Anarkali Bazaar |
E338391
|
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: Anarkali Bazaar | Statement: [Lahore, Punjab, British India, contains, Anarkali Bazaar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anarkali Bazaar Context triple: [Lahore, Punjab, British India, contains, Anarkali Bazaar]
-
A.
Anarkali Bazaar
chosen
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.
-
B.
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.
-
C.
Shahi Bazaar
Shahi Bazaar is a historic and bustling traditional market in Hyderabad, Sindh, known for its narrow lanes, vibrant shops, and local handicrafts.
-
D.
Sarafa Bazaar
Sarafa Bazaar is a famous marketplace in Indore known for its jewelry shops by day and vibrant street food scene by night.
-
E.
Resham Bazaar
Resham Bazaar is a prominent traditional marketplace in Hyderabad, Sindh, known for its vibrant trade in textiles, handicrafts, and local goods.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cea4e481908400b852a5a7032a |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c5e7b4881908245228730a65876 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.