Triple
T15093370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paros National Airport |
E360476
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Naoussa |
E1106176
|
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: Naoussa | Statement: [Paros National Airport, serves, Naoussa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naoussa Context triple: [Paros National Airport, serves, Naoussa]
-
A.
Naoussa
chosen
Naoussa is a picturesque fishing village and popular seaside resort on the Greek island of Paros, known for its charming harbor, whitewashed Cycladic architecture, and vibrant nightlife.
-
B.
Elatochori
Elatochori is a mountain village and popular ski resort area in the Pieria regional unit of northern Greece.
-
C.
Varkiza
Varkiza is a coastal suburb of Athens, Greece, known for its beaches and as the site where the Varkiza Agreement was signed after World War II.
-
D.
Nea Chalkidona
Nea Chalkidona is a suburban municipality in the Athens metropolitan area of Greece, known for its residential character and proximity to the city center.
-
E.
Nea Chora
Nea Chora is a coastal neighborhood of Chania in Crete, Greece, known for its sandy beach, seaside tavernas, and relaxed local atmosphere.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054571a48190a57055c0d6e90f82 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7e47b20819084145008474f47b7 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:04 a.m.