Triple
T3718933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoshea |
E81593
|
entity |
| Predicate | accessionType |
P51396
|
FINISHED |
| Object | Came to the throne after conspiring against Pekah |
—
|
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: Came to the throne after conspiring against Pekah | Statement: [Hoshea, accessionType, Came to the throne after conspiring against Pekah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessionType Context triple: [Hoshea, accessionType, Came to the throne after conspiring against Pekah]
-
A.
admissionType
Indicates the category or manner in which an entity (such as a person or case) is formally accepted or admitted into a system, institution, or process.
-
B.
aidType
Indicates the type or category of assistance or support being provided in the relationship.
-
C.
accessionDate
Indicates the date on which an item, record, or entity was formally added to a collection, system, or repository.
-
D.
hasAcquisitionType
Indicates the specific kind or category of acquisition relationship that exists between one entity acquiring another.
-
E.
accessionEvent
Indicates the event or process by which an item is formally acquired, accepted, or added into a collection, system, or repository.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca99e4248190a6a91808010b8b05 |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc48ec1a081909af0ff9f267c0ffe |
completed | March 8, 2026, 6:48 p.m. |
Created at: March 8, 2026, 3:34 p.m.