Triple
T33001419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idukki Lok Sabha constituency |
E844373
|
entity |
| Predicate | mpTitle |
P175893
|
FINISHED |
| Object | Member of Parliament, Lok Sabha |
—
|
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 Parliament, Lok Sabha | Statement: [Idukki Lok Sabha constituency, mpTitle, Member of Parliament, Lok Sabha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mpTitle Context triple: [Idukki Lok Sabha constituency, mpTitle, Member of Parliament, Lok Sabha]
-
A.
mainTitleOf
Indicates that one entity is the primary or official title assigned to another entity (such as a work, item, or record).
-
B.
textTitle
Indicates that one text entity serves as the title or heading for another text or resource.
-
C.
commonTitle
Indicates that two or more entities share the same title or designation.
-
D.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
E.
titleVariant
Indicates that one title is an alternative or variant form of another title referring to the same work or entity.
- 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_69f3494e59f08190b9127c693e5c7e8f |
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_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.