Triple

T1563255
Position Surface form Disambiguated ID Type / Status
Subject Basilica Cistern E33374 entity
Predicate MedusaHeadOrientation P1101 FINISHED
Object one upside down LITERAL 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: one upside down | Statement: [Basilica Cistern, MedusaHeadOrientation, one upside down]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: MedusaHeadOrientation
Context triple: [Basilica Cistern, MedusaHeadOrientation, one upside down]
  • A. shaftOrientation
    Indicates the directional alignment or angle at which a shaft is positioned or oriented relative to a reference frame or object.
  • B. legOrientation
    Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
  • C. orientation chosen
    Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
  • D. gateOrientation
    Indicates the directional alignment or facing direction of a gate relative to a reference frame or coordinate system.
  • E. sessionOrientation
    Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
  • F. None of above.

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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90fccd4b48190a44012888a00af7f completed March 5, 2026, 5:08 a.m.
PD Predicate disambiguation batch_69a907b872f0819096b3df6ad502c63e completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.