Triple
T21036602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aitoliko Lagoon |
E518205
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Aitoliko |
—
|
NE NERFINISHED |
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: Aitoliko | Statement: [Aitoliko Lagoon, nearbySettlement, Aitoliko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aitoliko Context triple: [Aitoliko Lagoon, nearbySettlement, Aitoliko]
-
A.
Aitoliko
chosen
Aitoliko is a small town in western Greece built on an island between two lagoons, known for its scenic bridges, traditional architecture, and fishing heritage.
-
B.
Ajiëe
Ajiëe is an Oceanic language spoken primarily in New Caledonia, known for its complex phonology and rich oral tradition.
-
C.
Aegiali
Aegiali is a coastal village and popular tourist resort on the Greek island of Amorgos, known for its scenic bay, beaches, and traditional Cycladic character.
-
D.
Aytos
Aytos is a small town in southeastern Bulgaria known as an administrative and economic center within Burgas Province.
-
E.
Afiartis
Afiartis is a coastal area on the Greek island of Karpathos known for its beaches and strong winds that make it popular for windsurfing and other water sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc865ca88190abf336ee9012fa77 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 2:02 p.m.