Triple
T24149864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asa Thurston |
E598497
|
entity |
| Predicate | hasReligionOccupationType |
P137507
|
FINISHED |
| Object | foreign missionary |
—
|
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: foreign missionary | Statement: [Asa Thurston, hasReligionOccupationType, foreign missionary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionOccupationType Context triple: [Asa Thurston, hasReligionOccupationType, foreign missionary]
-
A.
hasReligionOccupationFocus
chosen
Indicates that an occupation is primarily focused on religious activities, roles, or responsibilities.
-
B.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
-
C.
hasClergyType
Indicates the specific category or role of clergy associated with an entity.
-
D.
hasReligiousRoleEquivalent
Indicates that two religious roles are considered functionally or hierarchically equivalent within or across religious traditions.
-
E.
hasAssociatedReligion
Indicates that an entity is connected with or linked to a particular religion.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00e025c81908cacfcfa0819c73f |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:30 p.m.