Triple
T3222031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens International Airport Eleftherios Venizelos |
E67532
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Spata |
E288763
|
NE 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: Spata | Statement: [Athens International Airport Eleftherios Venizelos, locatedIn, Spata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spata Context triple: [Athens International Airport Eleftherios Venizelos, locatedIn, Spata]
-
A.
Spata
chosen
Spata is a town in the East Attica region of Greece, known for hosting Athens International Airport and for its agricultural and wine-producing traditions.
-
B.
Ilus
Ilus is a figure in Greek mythology known as a descendant of Dardanus and an early ancestor in the royal line of Troy.
-
C.
Canazei
Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
-
D.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
E.
Sera
Sera is a given name, often used as a variant of Sara or Sarah in various cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adae1845408190b3eccd791231c69c |
completed | March 8, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2624f74b8819086fd54d0cf326fe9 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:08 p.m.