Triple
T24737501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tzitzifies |
E618454
|
entity |
| Predicate | partOfUrbanContinuumWith |
P38278
|
FINISHED |
| Object | Palaio Faliro |
—
|
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: Palaio Faliro | Statement: [Tzitzifies, partOfUrbanContinuumWith, Palaio Faliro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfUrbanContinuumWith Context triple: [Tzitzifies, partOfUrbanContinuumWith, Palaio Faliro]
-
A.
urbanContinuity
Indicates that two or more urban areas are spatially connected or form a continuous built-up zone without significant gaps.
-
B.
hasUrbanContinuity
Indicates that there is a continuous, uninterrupted urbanized area or built-up fabric between the related entities.
-
C.
integratedIntoUrbanNetwork
Indicates that an entity has been incorporated into and functions as part of a broader urban infrastructure or service network.
-
D.
withinUrbanArea
Indicates that one entity is located inside the spatial boundaries of an urban area associated with another entity.
-
E.
formsUrbanAreaWith
chosen
Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 4:04 a.m.