Triple
T925167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Ecclesiastes |
E19966
|
entity |
| Predicate | canonicalGrouping |
P16559
|
FINISHED |
| Object | Wisdom Books in Christian tradition |
—
|
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: Wisdom Books in Christian tradition | Statement: [Book of Ecclesiastes, canonicalGrouping, Wisdom Books in Christian tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalGrouping Context triple: [Book of Ecclesiastes, canonicalGrouping, Wisdom Books in Christian tradition]
-
A.
canonicalDivision
Indicates that one entity is the standard or officially recognized subdivision or partition of another entity.
-
B.
regionalGrouping
Indicates that entities are organized or associated together based on shared geographic or regional characteristics.
-
C.
coveredGroup
Indicates that one group or set is included within, or has its members protected or accounted for by, another group or arrangement.
-
D.
letterGroups
Indicates that entities are organized or associated into specific groups based on letters or letter-based criteria.
-
E.
labelGroup
chosen
Indicates that an entity is assigned to or associated with a particular group label used for categorization or organization.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2970a4c8190b22cb2fd4706f62b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.