Triple
T12386100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolkata Metropolitan Area |
E295867
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Rishra |
E182526
|
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: Rishra | Statement: [Kolkata Metropolitan Area, containsCity, Rishra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rishra Context triple: [Kolkata Metropolitan Area, containsCity, Rishra]
-
A.
Rishra
chosen
Rishra is an industrial town and municipal area in the Hooghly district of West Bengal, India, known for its jute mills and proximity to Kolkata along the Hooghly River.
-
B.
Lohra
Lohra is a small municipality in the Marburg-Biedenkopf district of the German state of Hesse.
-
C.
Vindrey
Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
-
D.
Yaudheya
Yaudheya is a relatively lesser-known figure in the Mahabharata tradition, remembered primarily as a son of the Pandava king Yudhishthira.
-
E.
Shingora
Shingora is a film featuring Indian actress and model Persis Khambatta, known for her distinctive screen presence and international appeal.
- 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_69f64b926c5c81909427eb191ae75ec6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:54 p.m.