Triple
T14193532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kardamyla |
E351773
|
entity |
| Predicate | hasMunicipalUnitArea |
P113161
|
FINISHED |
| Object | 182.5 square kilometres |
—
|
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: 182.5 square kilometres | Statement: [Kardamyla, hasMunicipalUnitArea, 182.5 square kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalUnitArea Context triple: [Kardamyla, hasMunicipalUnitArea, 182.5 square kilometres]
-
A.
hasMunicipalAreaFeature
Indicates that a municipal area possesses or contains a specific geographic or infrastructural feature within its boundaries.
-
B.
hasMunicipalDistrict
Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
-
C.
isSmallAreaMunicipality
Indicates that a municipality is classified as a small-area municipality, typically based on limited geographic size or population.
-
D.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
-
E.
hasCadastralArea
Indicates that an entity possesses or is associated with a specific cadastral (official land registry) area measurement.
- F. None of above. chosen
Provenance (4 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e0a52081908213aa6e548d4418 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:04 a.m.