Triple
T19110847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pydna-Kolindros municipality |
E467783
|
entity |
| Predicate | hasUrbanSettlements |
P115801
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Pydna-Kolindros municipality, hasUrbanSettlements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanSettlements Context triple: [Pydna-Kolindros municipality, hasUrbanSettlements, yes]
-
A.
hasMajorSettlementsType
Indicates that an entity is associated with major settlements of a specified type (e.g., cities, towns, villages).
-
B.
hasHumanSettlement
Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
-
C.
hasUrbanLocalities
chosen
Indicates that an entity possesses or includes one or more urban localities within its jurisdiction or scope.
-
D.
isUrbanSettlementIn
Indicates that an urban settlement (such as a city or town) is located within a specified larger geographic or administrative area.
-
E.
hasCityStatusSettlement
Indicates that a settlement possesses official recognition or designation as a city.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e393bafc81908e35a0eba7b807a6 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.