Triple
T26210062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pairabondh, Rangpur, Bengal Presidency, British India |
E655462
|
entity |
| Predicate | countryDuringBirthOfBegumRokeya |
P180925
|
FINISHED |
| Object | British India |
—
|
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: British India | Statement: [Pairabondh, Rangpur, Bengal Presidency, British India, countryDuringBirthOfBegumRokeya, British India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryDuringBirthOfBegumRokeya Context triple: [Pairabondh, Rangpur, Bengal Presidency, British India, countryDuringBirthOfBegumRokeya, British India]
-
A.
becameBorderOfBangladeshAfter
Indicates that one entity came to serve as a border of Bangladesh after a specified event or point in time.
-
B.
allegedBirthRegion
Indicates the region where an entity is claimed or reported to have been born, without asserting that this birthplace is verified as fact.
-
C.
countryOfMainRitual
Indicates the country in which a given ritual is primarily performed or holds its main significance.
-
D.
maternalHomelandOf
Indicates that a location is the homeland or country of origin of an entity’s mother.
-
E.
reinoDeNacimiento
Indicates the kingdom or realm in which an entity was born.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 26, 2026, 8:52 p.m.