Triple
T16659102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandannagar subdivision |
E404810
|
entity |
| Predicate | hasUrbanAreas |
P11388
|
FINISHED |
| Object | Champdani |
E635172
|
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: Champdani | Statement: [Chandannagar subdivision, hasUrbanAreas, Champdani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champdani Context triple: [Chandannagar subdivision, hasUrbanAreas, Champdani]
-
A.
Champdani
chosen
Champdani is an industrial town in West Bengal, India, known for its jute mills and location along the Hooghly River near Kolkata.
-
B.
Shahi
Shahi is a surname of Persian origin most notably borne by American actress Sarah Shahi.
-
C.
Rustom Cama
Rustom Cama was the husband of Indian independence activist Bhikaji Cama, about whom relatively little is historically documented compared to his prominent spouse.
-
D.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
E.
マサル
マサル is a Japanese given name, typically masculine, used for various real and fictional individuals.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bfcbb6881909c0419174dd017dc |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084ce7cf0819091e7a4de2cc010ea |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.