Triple
T8783811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | door-to-door ministry of Jehovah’s Witnesses |
E208995
|
entity |
| Predicate | timeReported |
P1936
|
FINISHED |
| Object | field service reports |
—
|
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: field service reports | Statement: [door-to-door ministry of Jehovah’s Witnesses, timeReported, field service reports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeReported Context triple: [door-to-door ministry of Jehovah’s Witnesses, timeReported, field service reports]
-
A.
timeOfInitiation
Indicates the specific point in time at which an action, event, or process begins.
-
B.
time
chosen
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
-
C.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
-
D.
timeProperty
Indicates that one entity specifies, constrains, or characterizes a temporal aspect or timing-related attribute of another entity.
-
E.
timeOfAttestation
Indicates the specific time at which a statement, document, or claim is formally attested or verified.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f72f4bc8190b85bd051d3db6881 |
completed | March 31, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:42 p.m.