Triple
T29918871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Methodist general agencies |
E759865
|
entity |
| Predicate | organizeBy |
P180149
|
FINISHED |
| Object | specialized ministry areas |
—
|
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: specialized ministry areas | Statement: [United Methodist general agencies, organizeBy, specialized ministry areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizeBy Context triple: [United Methodist general agencies, organizeBy, specialized ministry areas]
-
A.
organizedUnder
Indicates that one entity is administratively or structurally placed within, and governed or managed by, another entity.
-
B.
fullyOrganizedBy
Indicates that an event, activity, or process is completely planned, coordinated, and managed by a specified organizing entity.
-
C.
organizedFrom
Indicates that something has been arranged, structured, or formed starting from a specified source or initial set of elements.
-
D.
organizesInto
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
E.
organizedAs
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
- F. None of above. chosen
Provenance (4 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
| PDg | Predicate description generation | batch_69f73221eef88190bd8905e6e9f5a586 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 29, 2026, 6:13 p.m.