Triple

T205729
Position Surface form Disambiguated ID Type / Status
Subject Anacreon E4606 entity
Predicate associatedPlace P1481 FINISHED
Object Teos E28911 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: Teos | Statement: [Anacreon, associatedPlace, Teos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teos
Context triple: [Anacreon, associatedPlace, Teos]
  • A. Teos chosen
    Teos was an ancient Ionian Greek city on the western coast of Asia Minor, known as the hometown of the lyric poet Anacreon.
  • B. Muspilli
    Muspilli is an Old High German eschatological poem that vividly depicts the Last Judgment and the end of the world.
  • C. Idumea
    Idumea was an ancient region south of Judea, inhabited by the Edomites and later integrated into the Hasmonean and Herodian Jewish realms.
  • D. Ta-Mehu
    Ta-Mehu is the ancient Egyptian name for Lower Egypt, the northern region of the Nile Valley encompassing the Nile Delta.
  • E. Rarámuri
    The Rarámuri, also known as the Tarahumara, are an Indigenous people of northern Mexico renowned for their exceptional long-distance running abilities and traditional way of life in the canyons and mountains of the Sierra Madre.
  • 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_69a25737567c81908f9c505300239181 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c04e42481909e957cb34dc02731 completed Feb. 28, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35e9fb768819087282451ec8051b0 completed Feb. 28, 2026, 9:31 p.m.
Created at: Feb. 28, 2026, 2:51 a.m.