Triple
T11712093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markan priority |
E278396
|
entity |
| Predicate | supportedByObservation |
P71680
|
FINISHED |
| Object | Mark is the shortest Synoptic Gospel |
—
|
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: Mark is the shortest Synoptic Gospel | Statement: [Markan priority, supportedByObservation, Mark is the shortest Synoptic Gospel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedByObservation Context triple: [Markan priority, supportedByObservation, Mark is the shortest Synoptic Gospel]
-
A.
supportsObservation
chosen
Indicates that one entity provides evidence, context, or infrastructure that enables or strengthens the validity of an observation made about another entity.
-
B.
supportsObservationSpace
Indicates that one entity provides or enables an observation space capability for another entity.
-
C.
supportsTheory
Indicates that one entity provides evidence, justification, or endorsement for the validity or acceptance of another entity’s theory.
-
D.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
-
E.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4be10088190854699385d1f6a95 |
completed | April 10, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.