Triple

T15556079
Position Surface form Disambiguated ID Type / Status
Subject Port of Kos E370871 entity
Predicate serves P98 FINISHED
Object Kos town E368261 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: Kos town | Statement: [Port of Kos, serves, Kos town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kos town
Context triple: [Port of Kos, serves, Kos town]
  • A. Kos Town chosen
    Kos Town is the main port and largest urban center on the Greek island of Kos, known for its historic sites, harbor, and role as the island’s commercial and tourist hub.
  • B. Kamaran town
    Kamaran town is the main settlement and administrative center located on Kamaran Island off the coast of Yemen in the Red Sea.
  • C. Salamina town
    Salamina town is a coastal settlement on the Greek island of Salamina, known for its proximity to the island’s main port and its role as a local commercial and residential center.
  • D. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • E. Poros town
    Poros town is the main settlement and harbor of the Greek island of Poros in the Saronic Gulf, known for its neoclassical waterfront, vibrant marina, and role as a popular weekend getaway from Athens.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a97dbfc8190a98cbbac5e71ba88 completed April 16, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456427988190bddea01f5cb159d9 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.