Triple
T9768226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibpur |
E237052
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Howrah |
E38476
|
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: Howrah | Statement: [Shibpur, city, Howrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howrah Context triple: [Shibpur, city, Howrah]
-
A.
Howrah
chosen
Howrah is a major industrial city in the Indian state of West Bengal, located on the Hooghly River opposite Kolkata and known for the iconic Howrah Bridge and its busy railway junction.
-
B.
Diamond Harbour
Diamond Harbour is a town in eastern India situated along the Hooghly River, known as a gateway to the Bay of Bengal and a popular regional tourist and trading hub.
-
C.
Howrah bus terminus
Howrah bus terminus is a major bus station in Howrah, West Bengal, serving as a key hub for regional and intercity road transport, especially in connection with the nearby Howrah railway station.
-
D.
North Dum Dum
North Dum Dum is a suburban city in the North 24 Parganas district of West Bengal, India, forming part of the Kolkata Metropolitan Area.
-
E.
South Dum Dum
South Dum Dum is a suburban town in the North 24 Parganas district near Kolkata in the Indian state of West Bengal.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a2da648190836916a45d2998d7 |
completed | April 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c412f0a48190b59d030b703a0e45 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:25 p.m.