Triple

T32738749
Position Surface form Disambiguated ID Type / Status
Subject Miserlou E837161 entity
Predicate scaleUsed P175040 FINISHED
Object Middle Eastern scale 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: Middle Eastern scale | Statement: [Miserlou, scaleUsed, Middle Eastern scale]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scaleUsed
Context triple: [Miserlou, scaleUsed, Middle Eastern scale]
  • A. areaScale
    Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
  • B. distanceScaleUse
    Indicates that one entity uses or applies the distance scale defined or provided by another entity.
  • C. scaleCharacteristic
    Indicates that one entity specifies or describes a measurable property or dimension (such as size, magnitude, or extent) used as the scale for evaluating or comparing another entity.
  • D. mapScale
    Indicates the ratio between distances on a map and the corresponding actual distances in the real world.
  • E. scaleDefinition
    Indicates that an entity specifies the parameters, structure, or measurement system used to define a particular scale.
  • F. None of above. chosen

Provenance (4 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_69f34936e1748190b797e406e4e9293a completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd9bae8c8190b528641499162a75 completed May 3, 2026, 4:22 a.m.
PD Predicate disambiguation batch_69f6cc1470808190b70cdfd7a6395670 completed May 3, 2026, 4:16 a.m.
PDg Predicate description generation batch_69f6cd119cac8190a0b3ebe8b9c742c2 completed May 3, 2026, 4:20 a.m.
Created at: May 1, 2026, 1:12 a.m.