Triple

T8692445
Position Surface form Disambiguated ID Type / Status
Subject Argolic Gulf E206323 entity
Predicate hasMajorPort P942 FINISHED
Object Tolo E559654 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: Tolo | Statement: [Argolic Gulf, hasMajorPort, Tolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tolo
Context triple: [Argolic Gulf, hasMajorPort, Tolo]
  • A. Tolo chosen
    Tolo is a coastal village and popular tourist resort in the Argolis region of the Peloponnese in Greece, known for its beaches and proximity to historic sites like Nafplio.
  • B. Tolo
    Tolo is an alternative name for the Talise language, an Austronesian language spoken in the Solomon Islands.
  • C. Tolomako
    Tolomako is an Oceanic language spoken on Espiritu Santo in Vanuatu, known for its relatively simple phonology and grammar.
  • D. Tigoa
    Tigoa is the main administrative and population center of Rennell and Bellona Province in the Solomon Islands.
  • E. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5825385081908dee42cba8e98392 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3ea2ba08190b8046e703ba7d2d8 completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:33 p.m.