Triple
T27031687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government of Arunachal Pradesh |
E680933
|
entity |
| Predicate | numberOfLegislativeAssemblyMembers |
P11035
|
FINISHED |
| Object | 60 |
—
|
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: 60 | Statement: [Government of Arunachal Pradesh, numberOfLegislativeAssemblyMembers, 60]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLegislativeAssemblyMembers Context triple: [Government of Arunachal Pradesh, numberOfLegislativeAssemblyMembers, 60]
-
A.
legislativeAssemblySeats
chosen
Indicates the number of seats an entity holds or is allocated in a legislative assembly.
-
B.
seatOfAssembly
Indicates that a location serves as the official meeting place or headquarters of a legislative or deliberative assembly.
-
C.
legislativeCouncilSeats
Indicates the number of seats held or allocated in a legislative council within a given political or administrative context.
-
D.
parliamentarySeatCount
Indicates the number of seats a party, group, or entity holds in a parliamentary body.
-
E.
totalNumberOfLegislators
Indicates the total count of legislators associated with a given political body, jurisdiction, or legislative session.
- F. None of above.
Provenance (3 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: April 27, 2026, 7:14 a.m.