Triple

T4387096
Position Surface form Disambiguated ID Type / Status
Subject Zakynthos International Airport E99269 entity
Predicate cityServed P82 FINISHED
Object Zante E89647 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: Zante | Statement: [Zakynthos International Airport, cityServed, Zante]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zante
Context triple: [Zakynthos International Airport, cityServed, Zante]
  • A. Port Zante
    Port Zante is a major cruise ship and commercial harbor in Basseterre, Saint Kitts, serving as a key gateway for tourism and maritime trade in the region.
  • B. Corfu
    Corfu is a Greek island in the Ionian Sea known for its lush landscapes, Venetian-influenced architecture, and rich cultural history.
  • C. Zakynthos chosen
    Zakynthos is a Greek island in the Ionian Sea known for its stunning beaches, clear blue waters, and dramatic coastal cliffs.
  • D. Kythira
    Kythira is a Greek island historically associated with the worship of Aphrodite, known for its picturesque villages, beaches, and blend of Ionian and Aegean cultural influences.
  • E. Lefkada
    Lefkada is a Greek island in the Ionian Sea known for its dramatic cliffs, turquoise waters, and popular beaches such as Porto Katsiki and Egremni.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352804be88190ab188ac0dde1ac1e completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be100f9e58819088fa92122cd57455 completed March 21, 2026, 3:27 a.m.
Created at: March 12, 2026, 11:19 p.m.