Triple
T392939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British East India Company |
E8918
|
entity |
| Predicate | diwaniGrantYear |
P10140
|
FINISHED |
| Object | 1765 |
—
|
LITERAL 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: 1765 | Statement: [British East India Company, diwaniGrantYear, 1765]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diwaniGrantYear Context triple: [British East India Company, diwaniGrantYear, 1765]
-
A.
dateGranted
Indicates the specific date on which a right, status, or permission was formally conferred or approved.
-
B.
confiscationYear
Indicates the year in which something was officially taken away or seized, typically by an authority.
-
C.
awardedByDecreeOf
chosen
Indicates that something (such as a title, right, or benefit) is formally granted or conferred through an official decree or authoritative order.
-
D.
commissionedYear
Indicates the year in which something (typically a work, project, or item) was formally ordered, authorized, or put into production.
-
E.
donationYear
Indicates the specific calendar year in which a donation or gift was made.
- F. None of above.
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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec7637c08190b695ec640edbf6c2 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96a8ca48190abbd8de9b02c115c |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.