Triple
T2297492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESV Pew Bible |
E51650
|
entity |
| Predicate | coverMaterial |
P10512
|
FINISHED |
| Object | cloth over board |
—
|
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: cloth over board | Statement: [ESV Pew Bible, coverMaterial, cloth over board]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverMaterial Context triple: [ESV Pew Bible, coverMaterial, cloth over board]
-
A.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
B.
eraCovered
Indicates that one entity temporally encompasses, includes, or spans the historical period or era associated with another entity.
-
C.
coverUpBy
Indicates that one entity conceals, suppresses, or hides the actions, information, or wrongdoing associated with another entity.
-
D.
hasCoverType
chosen
Indicates that one entity possesses or is associated with a specific type or category of cover.
-
E.
coversMode
Indicates that one entity includes, addresses, or supports a particular mode or manner of operation associated with another entity.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.