Triple
T23649676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotomagus – Rouen |
E584133
|
entity |
| Predicate | wasMajorUrbanCenterIn |
P48921
|
FINISHED |
| Object | Roman Gaul |
—
|
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: Roman Gaul | Statement: [Rotomagus – Rouen, wasMajorUrbanCenterIn, Roman Gaul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasMajorUrbanCenterIn Context triple: [Rotomagus – Rouen, wasMajorUrbanCenterIn, Roman Gaul]
-
A.
majorUrbanCenterIn
chosen
Indicates that a city or metropolitan area functions as a primary or significant urban center within the specified region or administrative unit.
-
B.
wasMajorCenterDuring
Indicates that a place served as a primary or highly significant hub of activity, influence, or importance during a specified time period.
-
C.
wasImportantCityOf
Indicates that a city held significant importance or prominence within a specified larger political or geographic entity during a given time period.
-
D.
isMajorCityIn
Indicates that a city is a primary or significant urban center located within a specified larger region or country.
-
E.
isHighlyUrbanizedCityOf
Indicates that a city is characterized by a high degree of urban development and population density within the specified larger region or jurisdiction.
- 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.