Triple
T19567222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolindros |
E489614
|
entity |
| Predicate | hasMunicipalUnitName |
P136607
|
FINISHED |
| Object | Kolindros municipal unit |
—
|
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: Kolindros municipal unit | Statement: [Kolindros, hasMunicipalUnitName, Kolindros municipal unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalUnitName Context triple: [Kolindros, hasMunicipalUnitName, Kolindros municipal unit]
-
A.
hasNameInMunicipality
Indicates that an entity is known by a particular name within the context or jurisdiction of a specific municipality.
-
B.
hasMunicipalUnitArea
Indicates that a municipal unit is associated with a specific measured area.
-
C.
municipalityName
Indicates the official name assigned to a municipality.
-
D.
hasMunicipalDistrict
Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
-
E.
hasMunicipalPart
Indicates that an administrative or territorial entity includes a municipality as one of its constituent parts.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f784ff88190a515c78429de3caf |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
| PDg | Predicate description generation | batch_69e51796b4c48190b721114dde654bd7 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 1:42 p.m.