Triple
T20320142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westcott and Hort Greek New Testament |
E492186
|
entity |
| Predicate | opposedTextType |
P139657
|
FINISHED |
| Object | Byzantine text-type as secondary |
—
|
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: Byzantine text-type as secondary | Statement: [Westcott and Hort Greek New Testament, opposedTextType, Byzantine text-type as secondary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedTextType Context triple: [Westcott and Hort Greek New Testament, opposedTextType, Byzantine text-type as secondary]
-
A.
opposedStyle
Indicates that one entity’s style is in opposition or contrast to the style of another entity.
-
B.
opposedTaxType
Indicates that one entity is against, resists, or disagrees with a particular type or category of tax associated with another entity.
-
C.
opposedTitle
Indicates that one entity holds a title, position, or role that is in opposition or rivalry to the title, position, or role held by another entity.
-
D.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
E.
opposedLawType
Indicates that one law is opposed to, or in conflict with, another law of a specified type.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778abd14819098a01fd32217fdde |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:20 a.m.