Triple
T31437924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copia Thurii |
E801984
|
entity |
| Predicate | urbanContinuityFrom |
P80708
|
FINISHED |
| Object | Greek city of Thurii |
—
|
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: Greek city of Thurii | Statement: [Copia Thurii, urbanContinuityFrom, Greek city of Thurii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanContinuityFrom Context triple: [Copia Thurii, urbanContinuityFrom, Greek city of Thurii]
-
A.
urbanContinuity
Indicates that two or more urban areas are spatially connected or form a continuous built-up zone without significant gaps.
-
B.
hasUrbanContinuity
chosen
Indicates that there is a continuous, uninterrupted urbanized area or built-up fabric between the related entities.
-
C.
partOfUrbanContinuumWith
Indicates that two or more settlements are spatially and functionally connected in such a way that they form a continuous urban area or built-up zone.
-
D.
urbanScale
Indicates the extent or magnitude of development, density, or size at which an area or environment can be characterized as urban.
-
E.
urbanSuccessor
Indicates that one urban area directly follows or replaces another in a temporal or developmental sequence, serving as its successor in an urban context.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 30, 2026, 9:03 p.m.