Triple
T866246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skull and Bones |
E18707
|
entity |
| Predicate | hasApproximateMembershipPerYear |
P14820
|
FINISHED |
| Object | about 15 members |
—
|
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: about 15 members | Statement: [Skull and Bones, hasApproximateMembershipPerYear, about 15 members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateMembershipPerYear Context triple: [Skull and Bones, hasApproximateMembershipPerYear, about 15 members]
-
A.
membershipAsOf
Indicates that one entity is a member of another entity or group at a specific point in time or as of a given date.
-
B.
totalMembershipApprox
chosen
Indicates an approximate total count of members associated with an entity.
-
C.
membershipPeakYear
Indicates the year in which an entity’s membership count reached its highest level.
-
D.
hasNumberInYear
Indicates that a specific number is associated with or occurs within a given year.
-
E.
hasMembershipBase
Indicates that an entity possesses or is associated with a foundational group or set of members that form its membership base.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7cb1888190a46c16b30256451b |
completed | March 1, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69a4aa87504481909618a6815948da6f |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.