Triple
T4685973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramakrishna Math |
E103921
|
entity |
| Predicate | headquartersCity |
P62
|
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: [Ramakrishna Math, headquartersCity, Howrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howrah Context triple: [Ramakrishna Math, headquartersCity, 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.
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.
-
E.
Islampur
Islampur is a town in the Indian state of West Bengal, known as a local commercial and administrative center in the northern part of the state.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6383c83881908a978e471fe422a2 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03b3b0208190bb307cdd53f44306 |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.