Triple
T31977959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Γουρνιά |
E816497
|
entity |
| Predicate | είδοςΜνημείου |
P25584
|
FINISHED |
| Object | προϊστορικός οικισμός |
—
|
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: προϊστορικός οικισμός | Statement: [Γουρνιά, είδοςΜνημείου, προϊστορικός οικισμός]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: είδοςΜνημείου Context triple: [Γουρνιά, είδοςΜνημείου, προϊστορικός οικισμός]
-
A.
monumentType
chosen
Indicates the specific kind or category of monument that an entity is classified as.
-
B.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
-
C.
typeOfLandmark
Indicates the specific category or kind of landmark that an entity belongs to (e.g., monument, natural feature, building).
-
D.
heritageType
Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
-
E.
museumOrSite
Indicates that one entity is a museum or cultural/historical site associated with or relevant to another entity.
- 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_69f348f6a3008190bfb59ca695fd68e2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b34672f08190bd219f937ce6b1dd |
completed | May 3, 2026, 2:30 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:11 a.m.