Triple
T14442919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyrgos municipality |
E358129
|
entity |
| Predicate | officialNameScript |
P69131
|
FINISHED |
| Object | Greek alphabet |
—
|
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 alphabet | Statement: [Pyrgos municipality, officialNameScript, Greek alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialNameScript Context triple: [Pyrgos municipality, officialNameScript, Greek alphabet]
-
A.
nativeNameScript
Indicates the writing system or script in which an entity’s native name is expressed.
-
B.
scriptOfOfficialNames
chosen
Indicates the writing system or script in which the official names of entities are expressed.
-
C.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
D.
officialNameGivenBy
Indicates that an official or formal name has been assigned to an entity by a specific authority or source.
-
E.
formerOfficialNameLanguage
Indicates the language in which an entity’s former official name was expressed.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.