Triple
T33052303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khowai (Tripura Assembly constituency) |
E845758
|
entity |
| Predicate | MLATitle |
P175748
|
FINISHED |
| Object | Member of Legislative Assembly |
—
|
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: Member of Legislative Assembly | Statement: [Khowai (Tripura Assembly constituency), MLATitle, Member of Legislative Assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MLATitle Context triple: [Khowai (Tripura Assembly constituency), MLATitle, Member of Legislative Assembly]
-
A.
hasLatinTitleOf
Indicates that one entity has, uses, or is associated with the Latin-language title corresponding to another entity.
-
B.
ISLTitles
Indicates that one entity holds a title or designation that is recognized or defined by another entity.
-
C.
cultTitleOf
Indicates that the subject holds a religious or cultic title or honorific associated with the object.
-
D.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
E.
titleInLatinScript
Indicates that the title of an entity is written or represented using a Latin-based writing system.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:24 a.m.