Triple
T34369652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hongmen Zhigongtang |
E882116
|
entity |
| Predicate | organizationalModelInspiredBy |
P83697
|
FINISHED |
| Object | Freemasonry |
—
|
NE NERFINISHED |
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: Freemasonry | Statement: [Hongmen Zhigongtang, organizationalModelInspiredBy, Freemasonry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationalModelInspiredBy Context triple: [Hongmen Zhigongtang, organizationalModelInspiredBy, Freemasonry]
-
A.
foundingModelledOn
Indicates that the founding or establishment of one entity is based on, inspired by, or patterned after the founding model or principles of another entity.
-
B.
inspiredOrganization
chosen
Indicates that one organization served as a source of inspiration, influence, or motivation for another organization’s ideas, actions, or formation.
-
C.
modeOfOrganization
Indicates the way in which an entity, group, or activity is structured, arranged, or organized.
-
D.
organizationalPrecursorOf
Indicates that one organization functioned as a predecessor or antecedent to another organization in terms of structure, role, or continuity.
-
E.
isModelledAfter
Indicates that one entity is created, designed, or structured based on the form, features, or principles of another entity.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 1:59 a.m.