Triple
T8559446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estimates Committee (India) |
E202653
|
entity |
| Predicate | exOfficioMembers |
P23993
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Estimates Committee (India), exOfficioMembers, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exOfficioMembers Context triple: [Estimates Committee (India), exOfficioMembers, none]
-
A.
includesExOfficioMember
chosen
Indicates that an entity has another entity as a member by virtue of holding a particular office or position, rather than through separate appointment or election.
-
B.
numberOfExOfficioMembers
Indicates the count of individuals who hold membership in a body or group by virtue of another office or position they occupy, rather than by direct appointment or election.
-
C.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
D.
hasMemberByVirtueOfOffice
Indicates that an entity is a member of a group or body specifically because they hold a particular office or position.
-
E.
officeItAbbreviatesMemberOf
Indicates that an office-related abbreviation stands for or is a member of a particular office or organizational unit.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe949974c8190a75d9c767ca5fa5a |
completed | March 31, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.