Triple

T8717080
Position Surface form Disambiguated ID Type / Status
Subject Centaurus E206922 entity
Predicate borderedBy P224 FINISHED
Object Hydra E66917 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 | Statement: [Centaurus, borderedBy, Hydra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hydra
Context triple: [Centaurus, borderedBy, Hydra]
  • A. Hydra
    Hydra is a small, freshwater cnidarian polyp known for its simple tubular body and remarkable ability to regenerate lost or damaged tissues.
  • B. Hydra
    Hydra is a many-headed serpent-like monster from Greek mythology, famous for its regenerative heads and its defeat by the hero Heracles.
  • C. 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.
  • D. Hydra chosen
    Hydra is a Greek island in the Saronic Gulf known for its picturesque harbor, preserved stone architecture, and ban on motor vehicles.
  • E. Hydra
    Hydra is one of Pluto’s small outer moons, discovered in 2005 and named after the many-headed serpent from Greek mythology.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd9c2a08190a65ab0ce573153d2 completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28df657881908c1fc67c2c777cea completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:36 p.m.