Triple
T28393287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theban Legion tradition |
E719212
|
entity |
| Predicate | centralMartyr |
P177713
|
FINISHED |
| Object | Saint Maurice |
—
|
NE NERFINISHED |
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: Saint Maurice | Statement: [Theban Legion tradition, centralMartyr, Saint Maurice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralMartyr Context triple: [Theban Legion tradition, centralMartyr, Saint Maurice]
-
A.
martyrAssociated
Indicates that there is a relationship of connection or involvement between an entity and a martyr, such as affiliation, support, or commemoration.
-
B.
martyrType
Indicates that one entity is classified as a specific type or category of martyr in relation to another entity.
-
C.
martyrGroup
chosen
Indicates that a group is characterized by or associated with individuals who have died or sacrificed themselves for a cause, often being honored or recognized as martyrs.
-
D.
martyr
Indicates that an entity is killed or suffers greatly, typically for a belief, cause, or principle, often being regarded or treated as a martyr as a result.
-
E.
martyredUnder
Indicates that an entity was killed or executed as a martyr during the rule, authority, or actions 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 28, 2026, 1:15 a.m.