Triple
T30799169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Λήδρας |
E784317
|
entity |
| Predicate | έχει_χαρακτηριστικό |
P99469
|
FINISHED |
| Object | ιστορική σημασία |
—
|
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: ιστορική σημασία | Statement: [Λήδρας, έχει_χαρακτηριστικό, ιστορική σημασία]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: έχει_χαρακτηριστικό Context triple: [Λήδρας, έχει_χαρακτηριστικό, ιστορική σημασία]
-
A.
έχειΜεταγραφή
Indicates that an entity has been transferred or has undergone a transfer (e.g., between organizations, teams, or systems).
-
B.
έχειΚατηγοριοποιηθείΩς
Indicates that an entity has been classified or assigned to a specific category or type.
-
C.
έχει_ανδριάντα
Indicates that an entity has or is associated with a statue (typically of a person).
-
D.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
E.
subjectHasCharacteristic
chosen
Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6903998008190a77f8503d88c50d8 |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:42 p.m.