Triple

T6809116
Position Surface form Disambiguated ID Type / Status
Subject Thylogale E156584 entity
Predicate closelyRelatedTo P37 FINISHED
Object Wallabia E150409 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: Wallabia | Statement: [Thylogale, closelyRelatedTo, Wallabia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallabia
Context triple: [Thylogale, closelyRelatedTo, Wallabia]
  • A. Wallabia chosen
    Wallabia is a genus of marsupials that includes the swamp wallaby, a small to medium-sized grazing macropod native to eastern Australia.
  • B. Wallot
    Wallot is a German surname most notably associated with architect Paul Wallot, designer of the Reichstag building in Berlin.
  • C. Jaur
    Jaur is a river that serves as a tributary within the Orb river system in southern France.
  • D. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • E. Veluws
    Veluws is a Dutch Low Saxon dialect spoken in the Veluwe region of the Netherlands, closely related to other eastern Dutch dialects such as Achterhooks.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30c741881909e220b05aa564bc2 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71aa5411c81908d05bef3213b39f1 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:16 p.m.