Triple
T35897500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Σπιανάδα |
E1038263
|
entity |
| Predicate | χαρακτηρίζεται ως |
P662
|
FINISHED |
| Object | μεγάλη πλατεία |
—
|
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: μεγάλη πλατεία | Statement: [Σπιανάδα, χαρακτηρίζεται ως, μεγάλη πλατεία]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: χαρακτηρίζεται ως Context triple: [Σπιανάδα, χαρακτηρίζεται ως, μεγάλη πλατεία]
-
A.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
chargesCharacterization
Indicates how legal or formal charges against an entity are described, classified, or characterized.
-
C.
titleCharacterization
Indicates how a title characterizes, describes, or frames an associated entity (such as a work, person, or concept).
-
D.
treatmentCharacterization
Indicates how a treatment is defined, described, or categorized in terms of its nature, properties, or distinguishing features.
-
E.
relationshipCharacterizedAs
Indicates that one relationship is described, defined, or typified in terms of another specified characteristic or relational type.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3edb788190b9cb3760419ab7de |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.