Triple

T2744834
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg American Cemetery and Memorial E60840 entity
Predicate hasGraveOrientation P12663 FINISHED
Object rows of headstones on gently sloping lawn 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: rows of headstones on gently sloping lawn | Statement: [Luxembourg American Cemetery and Memorial, hasGraveOrientation, rows of headstones on gently sloping lawn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasGraveOrientation
Context triple: [Luxembourg American Cemetery and Memorial, hasGraveOrientation, rows of headstones on gently sloping lawn]
  • A. hasGravesFrom
    Indicates that a location or site contains graves originating from or associated with a specified source place or group.
  • B. hasGravestoneStyle
    Indicates that an entity’s gravestone is characterized by or associated with a particular style or design.
  • C. hasGravestone
    Indicates that one entity possesses, is associated with, or is commemorated by a gravestone.
  • D. 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.
  • E. legOrientation
    Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4d37a481908cc2ad4666f3ac94 completed March 7, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69abd829f1e88190aab1d54f87c69714 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:56 p.m.