Triple
T12124089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Athens International Airport |
E288763
|
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, locatedIn, Spata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spata Context triple: [Athens International Airport, 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.
Pantoliano
Pantoliano is the surname of American actor Joe Pantoliano, known for his character roles in film and television.
-
C.
Torriana
Torriana is a small Italian town in the Emilia-Romagna region, known for its medieval fortress and scenic position overlooking the Marecchia Valley.
-
D.
Satakopa
Satakopa is the revered honorific name of Nammalvar, one of the most important Tamil Vaishnavite poet-saints of the Alvar tradition.
-
E.
Marulan
Marulan is a small town in New South Wales, Australia, known as a rural service centre located near the geographic midpoint between Sydney and Canberra.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9157b2a9881908ec0e58cf438fce0 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f686d6c08190b1f1ca2d5a51f5df |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.