Triple
T8783749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jehovah’s Witnesses congregations |
E208994
|
entity |
| Predicate | languageOfMeetings |
P15031
|
FINISHED |
| Object | local language of territory |
—
|
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: local language of territory | Statement: [Jehovah’s Witnesses congregations, languageOfMeetings, local language of territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMeetings Context triple: [Jehovah’s Witnesses congregations, languageOfMeetings, local language of territory]
-
A.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
B.
languageOfNegotiation
Indicates that a specified language is used as the medium of communication during a negotiation between parties.
-
C.
languageOfEvent
chosen
Indicates the language in which an event is conducted, presented, or communicated.
-
D.
languageOfVenue
Indicates the language primarily used or officially designated for communication at a given venue.
-
E.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
- 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.