Triple
T16522927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Άρειος Πάγος |
E401363
|
entity |
| Predicate | buildingLocatedNear |
P115262
|
FINISHED |
| Object | Πλατεία Κάνιγγος, Αθήνα |
—
|
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: Πλατεία Κάνιγγος, Αθήνα | Statement: [Άρειος Πάγος, buildingLocatedNear, Πλατεία Κάνιγγος, Αθήνα]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingLocatedNear Context triple: [Άρειος Πάγος, buildingLocatedNear, Πλατεία Κάνιγγος, Αθήνα]
-
A.
oftenLocatedNear
Indicates that one entity is frequently found in close physical proximity to another entity.
-
B.
builtNear
Indicates that one entity was constructed at a location geographically close to another entity.
-
C.
buildingLocatedInNeighborhood
Indicates that a specific building is situated within a particular neighborhood.
-
D.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
-
E.
locatedNearSquare
chosen
Indicates that one entity is situated in close physical proximity to a square (such as a public plaza or open urban area).
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e8158cc8190aa77c6d37bd7ec76 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.