Triple
T33783649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Tolosana |
E865726
|
entity |
| Predicate | startPointTradition |
P201262
|
FINISHED |
| Object | Arles Cathedral |
—
|
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: Arles Cathedral | Statement: [Via Tolosana, startPointTradition, Arles Cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startPointTradition Context triple: [Via Tolosana, startPointTradition, Arles Cathedral]
-
A.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
-
B.
traditionAt
Indicates that a particular tradition is practiced, observed, or associated at a specific place or location.
-
C.
introducedTradition
Indicates that one entity initiated or brought a particular tradition into practice for another entity or context.
-
D.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
E.
placesInTradition
Indicates that one entity is situated, interpreted, or understood within the context or framework of a particular tradition.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffe23081408190a121d901dbce1403 |
completed | May 10, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ffe18aed348190912a5996b2da728b |
completed | May 10, 2026, 1:38 a.m. |
| PDg | Predicate description generation | batch_69ffe22f453c81909867ee2d2047636f |
completed | May 10, 2026, 1:41 a.m. |
Created at: May 1, 2026, 1:45 a.m.