Triple
T6205290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legislative Assembly of Puducherry |
E138729
|
entity |
| Predicate | hasNominatedMembers |
P68910
|
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: [Legislative Assembly of Puducherry, hasNominatedMembers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNominatedMembers Context triple: [Legislative Assembly of Puducherry, hasNominatedMembers, yes]
-
A.
hasElectedMembers
Indicates that an entity possesses members who have attained their positions through an election process.
-
B.
hasVotingMembers
Indicates that certain entities are recognized as having individuals or units with the authority to vote within a group, body, or decision-making process.
-
C.
hasNumberOfVotingMembers
Indicates the specific count of individuals who hold voting rights within a given group or body.
-
D.
hasNonvotingMember
Indicates that an entity is associated with a member who participates in some capacity but does not possess formal voting rights in the relevant decision-making process.
-
E.
hasPresidentialMember
Indicates that an entity includes or is associated with a member who holds or has held the position of president.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626d96ec8190816c00c44668177d |
completed | March 22, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:20 p.m.