Triple

T6305241
Position Surface form Disambiguated ID Type / Status
Subject Emirates Hills E141358 entity
Predicate typicalUnit P3664 FINISHED
Object large detached villa 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: large detached villa | Statement: [Emirates Hills, typicalUnit, large detached villa]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalUnit
Context triple: [Emirates Hills, typicalUnit, large detached villa]
  • A. typicalUnitType
    Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other entity.
  • B. typicalUnitSize chosen
    Indicates the standard or most common size or quantity in which something is typically measured, packaged, or used.
  • C. typicalSupportedUnitType
    Indicates the kind or category of unit that an entity is normally designed or expected to support.
  • D. typeOfUnit
    Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
  • E. basedUnitType
    Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06479acec819090306a155a03b774 completed March 22, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69c060e311b48190b1c74a5cf9435623 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:28 p.m.