Triple
T30799163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Λήδρας |
E784317
|
entity |
| Predicate | βρίσκεται_στην_πόλη |
P12399
|
FINISHED |
| Object | Λευκωσία |
—
|
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: Λευκωσία | Statement: [Λήδρας, βρίσκεται_στην_πόλη, Λευκωσία]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: βρίσκεται_στην_πόλη Context triple: [Λήδρας, βρίσκεται_στην_πόλη, Λευκωσία]
-
A.
находитсяК
Indicates that one entity is located at, in, or near another entity.
-
B.
πηγάζειΚοντάΣτηνΠόλη
Indicates that something (typically a river, spring, or source) originates or springs up in close proximity to a city.
-
C.
locatedInCityWithSignificance
Indicates that an entity is located in a city that holds particular importance or notable significance (e.g., historical, cultural, political, or economic).
-
D.
housedInCity
Indicates that one entity (such as a building, organization, or facility) is located within and contained by a particular city.
-
E.
isInCity
chosen
Indicates that one entity is located within the geographical boundaries of a specified city.
- 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.