Triple
T23649725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cenabum – Orléans |
E584134
|
entity |
| Predicate | wasGallicSettlement |
P3032
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cenabum – Orléans, wasGallicSettlement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasGallicSettlement Context triple: [Cenabum – Orléans, wasGallicSettlement, true]
-
A.
wasRomanSettlementName
Indicates that the subject was the name used for a settlement during the Roman period.
-
B.
wasRomanTown
Indicates that the subject entity functioned as a town or urban settlement during the period of the Roman Empire.
-
C.
wasCitadelOf
Indicates that a place previously served as the main fortified stronghold or central defensive structure for another entity.
-
D.
locatedInOrNearModernSettlement
Indicates that something is situated within or in close proximity to a present-day town, city, or other populated settlement.
-
E.
historicallyInhabitedBy
chosen
Indicates that a place or region was inhabited by a particular group or population during some period in the past.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b2885b408190a43dfed93309a4d6 |
completed | April 29, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.