Triple
T3175669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josiah |
E66458
|
entity |
| Predicate | evaluationInKings |
P45651
|
FINISHED |
| Object | praised as righteous king |
—
|
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: praised as righteous king | Statement: [Josiah, evaluationInKings, praised as righteous king]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: evaluationInKings Context triple: [Josiah, evaluationInKings, praised as righteous king]
-
A.
evaluatesKingsBy
Indicates a relationship where an agent assesses or judges kings according to a specified criterion, standard, or method.
-
B.
kingOf
Indicates that one entity holds the position or role of king in relation to another entity, typically a territory, people, or domain.
-
C.
numberOfKings
Indicates the quantity of entities that hold the role or title of king in a given context.
-
D.
hasKing
Indicates that an entity possesses or is ruled by a king.
-
E.
evaluationBasis
Indicates the criteria, standards, or reference framework used to judge, assess, or measure something in an evaluation process.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada671e6848190a683eec1519b9268 |
completed | March 8, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69ad9e02677c8190a21d93b1259b2761 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:06 p.m.