Triple
T28758470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Via Traiana |
E731737
|
entity |
| Predicate | hasPreservedSectionsIn |
P159383
|
FINISHED |
| Object | Apulia |
—
|
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: Apulia | Statement: [Via Traiana, hasPreservedSectionsIn, Apulia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreservedSectionsIn Context triple: [Via Traiana, hasPreservedSectionsIn, Apulia]
-
A.
hasPreservedSections
chosen
Indicates that an entity retains certain parts or portions of its original form or content in a preserved state.
-
B.
hasPreserved
Indicates that one entity has kept another entity intact, unchanged, or maintained in its original or functional state over time.
-
C.
hasSeparatedSections
Indicates that something is divided into distinct, non-continuous parts or sections.
-
D.
hasGlobalSectionsIn
Indicates that a mathematical object admits global sections when considered over a specified space or context.
-
E.
isPreservedBy
Indicates that something remains unchanged, intact, or maintained as it is due to the action or influence of a particular agent or process.
- 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
Created at: April 28, 2026, 6:10 a.m.