Triple
T6655357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Friars Minor Conventual |
E150926
|
entity |
| Predicate | isOrganizedInto |
P5709
|
FINISHED |
| Object | provinces |
—
|
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: provinces | Statement: [Order of Friars Minor Conventual, isOrganizedInto, provinces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOrganizedInto Context triple: [Order of Friars Minor Conventual, isOrganizedInto, provinces]
-
A.
organizesInto
chosen
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
B.
organizedAs
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
-
C.
organizedUnder
Indicates that one entity is administratively or structurally placed within, and governed or managed by, another entity.
-
D.
organizedFrom
Indicates that something has been arranged, structured, or formed starting from a specified source or initial set of elements.
-
E.
hasOrganizationalStructure
Indicates that an entity possesses a defined internal arrangement of roles, responsibilities, and relationships that determine how it is organized and operates.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:01 p.m.