Triple
T35114523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aparna |
E1013395
|
entity |
| Predicate | immigratesFrom |
P182539
|
FINISHED |
| Object | Calcutta |
—
|
NE NERFINISHED |
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: Calcutta | Statement: [Aparna, immigratesFrom, Calcutta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immigratesFrom Context triple: [Aparna, immigratesFrom, Calcutta]
-
A.
immigratedTo
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
B.
emigratedWith
Indicates that one entity moved from their country or place of origin to settle in another location together with the other entity.
-
C.
immigratedOn
Indicates that an entity moved to and settled in a new country or region on a specific date.
-
D.
immigratedDuring
Indicates that an entity moved to and settled in a new country or region during a specified time period.
-
E.
hasImmigrantCommunitiesFrom
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
- F. None of above. chosen
Provenance (4 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.