Triple
T1436764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Bengal |
E30575
|
entity |
| Predicate | contains |
P35
|
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: [West Bengal, contains, Howrah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howrah Context triple: [West Bengal, contains, 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.
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.
-
C.
Darjeeling
Darjeeling is a famous hill station in the Indian Himalayas renowned for its tea plantations, scenic mountain views, and colonial-era charm.
-
D.
Inwood
Inwood is the northernmost neighborhood of Manhattan in New York City, known for its parks, residential character, and location at the tip of the island.
-
E.
Vailsburg
Vailsburg is a primarily residential neighborhood in the West Ward of Newark, New Jersey, known for its diverse community and tree-lined streets.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c50418d08190ace2cab98af87f29 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad159e53e88190a566347150e9b4bc |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8 p.m.