Triple
T3194990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagpur session of the Indian National Congress (1920) |
E66913
|
entity |
| Predicate | introducedMembershipFee |
P35844
|
FINISHED |
| Object | four annas per year |
—
|
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: four annas per year | Statement: [Nagpur session of the Indian National Congress (1920), introducedMembershipFee, four annas per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedMembershipFee Context triple: [Nagpur session of the Indian National Congress (1920), introducedMembershipFee, four annas per year]
-
A.
membershipCost
chosen
Indicates the monetary amount required to obtain or maintain membership in something.
-
B.
totalMembershipApprox
Indicates an approximate total count of members associated with an entity.
-
C.
admissionFee
Indicates the monetary charge required for entry or participation in a place, event, or activity.
-
D.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
-
E.
alternativeMembership
Indicates that an entity belongs to one of several possible groups or categories that can substitute for each other as valid memberships.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7163c6c8190b26b05b66740264d |
completed | March 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.