Triple
T4524066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narayan Apte |
E103333
|
entity |
| Predicate | citizenshipStatusAtTimeOfCrime |
P50609
|
FINISHED |
| Object | subject of British India |
—
|
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: subject of British India | Statement: [Narayan Apte, citizenshipStatusAtTimeOfCrime, subject of British India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipStatusAtTimeOfCrime Context triple: [Narayan Apte, citizenshipStatusAtTimeOfCrime, subject of British India]
-
A.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
B.
citizenshipType
chosen
Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
-
C.
hasTypicalCitizenship
Indicates that an entity is generally or commonly a citizen of a specified country or jurisdiction.
-
D.
requiresCitizenship
Indicates that one entity can only obtain, access, or participate in another entity if it holds citizenship of a specified country or jurisdiction.
-
E.
immigrationStatusBeforeCitizenship
Indicates the legal immigration status an individual held prior to obtaining citizenship.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5773341c8190bf27745feb863575 |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.