Triple
T11129294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augustinian hypothesis |
E263234
|
entity |
| Predicate | proposesOrderOfComposition |
P37518
|
FINISHED |
| Object | Matthew first |
—
|
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: Matthew first | Statement: [Augustinian hypothesis, proposesOrderOfComposition, Matthew first]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposesOrderOfComposition Context triple: [Augustinian hypothesis, proposesOrderOfComposition, Matthew first]
-
A.
componentOrder
Indicates the relative sequence or arrangement of components within a larger structure or system.
-
B.
definesComposition
Indicates that one entity specifies or establishes the structural or component makeup of another entity.
-
C.
compositionalApproach
Indicates an approach where something is constructed, analyzed, or understood as a combination of smaller constituent parts and their arrangement.
-
D.
orderInComposerSymphonies
Indicates the sequential position that a particular symphony occupies within the complete set of symphonies composed by a given composer.
-
E.
orderOf
chosen
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e830e804819097fcc3826d84dab8 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.