Triple
T12386104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolkata Metropolitan Area |
E295867
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Budge Budge |
E640707
|
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: Budge Budge | Statement: [Kolkata Metropolitan Area, containsCity, Budge Budge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Budge Budge Context triple: [Kolkata Metropolitan Area, containsCity, Budge Budge]
-
A.
Budge Budge
chosen
Budge Budge is an industrial town and river port in West Bengal, India, located along the Hooghly River near Kolkata.
-
B.
Shastri Nagar
Shastri Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
-
C.
Azadpur
Azadpur is a locality in North Delhi, India, known for its major wholesale fruit and vegetable market and connectivity via the Delhi Metro.
-
D.
Karol Bagh
Karol Bagh is a prominent commercial and residential neighborhood in Delhi, India, known for its bustling markets, shopping streets, and traditional eateries.
-
E.
Kalyani Nagar
Kalyani Nagar is an upscale residential and commercial neighborhood in Pune, India, known for its IT parks, shopping malls, and vibrant dining and nightlife options.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347816408190904ea71d2a72398f |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.