Triple

T24903115
Position Surface form Disambiguated ID Type / Status
Subject Court Philippe-Chatrier E623631 entity
Predicate hasCourtOrientation P12663 FINISHED
Object north–south 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: north–south | Statement: [Court Philippe-Chatrier, hasCourtOrientation, north–south]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCourtOrientation
Context triple: [Court Philippe-Chatrier, hasCourtOrientation, north–south]
  • A. hasOrientation chosen
    Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
  • B. orientationType
    Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
  • C. styleOrientation
    Indicates the general stylistic direction or aesthetic approach that characterizes how something is designed, presented, or expressed.
  • D. hasLongTermOrientation
    Indicates a relationship where an entity emphasizes long-term planning, future rewards, and sustained commitments over immediate or short-term gains.
  • E. hasRegionalOrientation
    Indicates that an entity is oriented toward, focused on, or primarily associated with a specific geographic region.
  • 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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f65aa07c048190a5df30d53d8f0cf5 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
Created at: April 18, 2026, 5:27 a.m.