Triple
T8773185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerala Legislative Assembly |
E208513
|
entity |
| Predicate | hasSubjectCommittees |
P85317
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kerala Legislative Assembly, hasSubjectCommittees, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubjectCommittees Context triple: [Kerala Legislative Assembly, hasSubjectCommittees, yes]
-
A.
hasCommittee
Indicates that an entity is associated with or overseen by a specific committee.
-
B.
hasStandingCommittees
Indicates that an entity maintains one or more permanent (standing) committees as part of its organizational structure.
-
C.
hasSpecialCommittees
Indicates that an entity possesses or is associated with one or more designated special committees.
-
D.
hasNumberOfCommittees
Indicates the relationship that specifies how many committees are associated with a given entity.
-
E.
hasNumberOfSubcommittees
Indicates the relationship that specifies how many subcommittees are associated with a given 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2dc87c8190be0597a260d95a0b |
completed | March 31, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:41 p.m.