Triple
T20854457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estate of the Clergy |
E513443
|
entity |
| Predicate | voicedInterestsOf |
P1074
|
FINISHED |
| Object | Lutheran clergy in national politics |
—
|
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: Lutheran clergy in national politics | Statement: [Estate of the Clergy, voicedInterestsOf, Lutheran clergy in national politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voicedInterestsOf Context triple: [Estate of the Clergy, voicedInterestsOf, Lutheran clergy in national politics]
-
A.
recognizedInterest
Indicates that one entity has formally acknowledged or identified another entity’s interest in something as valid or relevant.
-
B.
representsInterestOf
chosen
Indicates that one entity expresses, holds, or embodies an interest, concern, or stake in another entity or subject.
-
C.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
D.
politicalInterest
Indicates that an entity has an interest, concern, or engagement in political matters, issues, or activities.
-
E.
hasVoicing
Indicates that one sound, segment, or phoneme is characterized by the presence or absence of vocal fold vibration (voicing) in relation to another or to a specified voicing property.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a7113c819087994bcdfe643bc1 |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:44 p.m.