Triple
T21203865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangeet Natak Akademi Fellowship |
E522526
|
entity |
| Predicate | maximumNumberOfLivingFellows |
P8136
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [Sangeet Natak Akademi Fellowship, maximumNumberOfLivingFellows, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumNumberOfLivingFellows Context triple: [Sangeet Natak Akademi Fellowship, maximumNumberOfLivingFellows, 40]
-
A.
maximumLivingRecipientsAtATime
chosen
Indicates the greatest number of living recipients that can simultaneously hold or benefit from a given thing, status, or allocation at any one time.
-
B.
hasMaximumNumberOfMembers
Indicates that there is an upper limit on how many members can be associated with a given entity.
-
C.
maximumAgeMa
Indicates that there is a specified maximum age limit applicable to an entity or relationship.
-
D.
maximumNumberOfHolders
Indicates the greatest allowable or observed count of entities that can simultaneously hold or possess a given item, role, or resource.
-
E.
traditionalNumberOfMembers
Indicates the customary or historically typical number of members associated with an entity or group.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7343367308190b1b772d3c8e25dcb |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:19 p.m.