Triple
T6886950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Order of Saint Francis |
E158944
|
entity |
| Predicate | hasVocationFor |
P70319
|
FINISHED |
| Object | married people |
—
|
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: married people | Statement: [Third Order of Saint Francis, hasVocationFor, married people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVocationFor Context triple: [Third Order of Saint Francis, hasVocationFor, married people]
-
A.
vocationType
Indicates the specific kind or category of occupation, profession, or calling associated with an entity.
-
B.
targetVocation
chosen
Indicates that an entity is the intended or designated profession, occupation, or calling for another entity.
-
C.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
D.
teamVocation
Indicates that a team is associated with or engaged in a particular vocation, profession, or line of work.
-
E.
isOccupationalFormOf
Indicates that one occupation is a specific form, variant, or specialization of another, more general occupation.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90e92488190b738676342ac6393 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:23 p.m.