Triple

T4984929
Position Surface form Disambiguated ID Type / Status
Subject Hydra, Greece E111976 entity
Predicate hasSettlement P1068 FINISHED
Object Hydra (town) E111976 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: Hydra (town) | Statement: [Hydra, Greece, hasSettlement, Hydra (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hydra (town)
Context triple: [Hydra, Greece, hasSettlement, Hydra (town)]
  • A. Hydra, Greece chosen
    Hydra, Greece is a picturesque Saronic Gulf island renowned for its preserved stone architecture, car-free harbor town, and long-standing appeal to artists and writers.
  • B. Hydra
    Hydra is a widely used network login cracker designed to perform fast, automated brute-force attacks against numerous protocols and services.
  • C. Hydra
    Hydra is a music record label known for releasing works by artists such as The Fireman.
  • D. Hydra
    Hydra is a many-headed serpent-like monster from Greek mythology, famous for its regenerative heads and its defeat by the hero Heracles.
  • E. Hydra
    Hydra is a clandestine, authoritarian terrorist organization in the Marvel universe known for its infiltration of governments and S.H.I.E.L.D. and its recurring clashes with heroes like Captain America.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd725766d88190b6fda860a005ce4e completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be924f11c88190abe6263bf11b848c completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:33 p.m.