Triple
T10346990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Nairn Forbes |
E243774
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Kolkata |
E4838
|
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: Kolkata | Statement: [William Nairn Forbes, workLocation, Kolkata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolkata Context triple: [William Nairn Forbes, workLocation, Kolkata]
-
A.
Calcutta
chosen
Calcutta, now known as Kolkata, is a major cultural and commercial metropolis in eastern India that served as the capital of British India until the early 20th century.
-
B.
Mambai
Mambai is an Austronesian language spoken primarily in East Timor, where it is one of the country’s major indigenous languages.
-
C.
Dispur
Dispur is a locality in Guwahati that serves as the administrative and political center of the Indian state of Assam.
-
D.
Kolkata Metropolitan Area
The Kolkata Metropolitan Area is the extensive urban agglomeration centered on Kolkata in eastern India, encompassing the city and its surrounding municipalities and suburbs as one of the country’s largest metropolitan regions.
-
E.
Kharagpur
Kharagpur is an industrial city in eastern India best known for hosting the first campus of the Indian Institute of Technology (IIT Kharagpur) and one of the country’s longest railway platforms.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9251654819080d1e3f0ed4ee9d3 |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750879d308190893bd8425aaa49d7 |
completed | April 9, 2026, 7:08 a.m. |
Created at: April 6, 2026, 11:56 a.m.