Triple

T37077767
Position Surface form Disambiguated ID Type / Status
Subject Our Cabaña E917757 entity
Predicate sisterCentre P175587 FINISHED
Object Our Chalet NE NERFINISHED

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: Our Chalet | Statement: [Our Cabaña, sisterCentre, Our Chalet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sisterCentre
Context triple: [Our Cabaña, sisterCentre, Our Chalet]
  • A. sisterComplex
    Indicates a strong, often excessive or romanticized emotional fixation or attraction that someone has toward their sister.
  • B. sisterService
    Indicates a relationship where two services are related as counterparts or peers, typically offered by the same provider or within the same system, without one being subordinate to the other.
  • C. sisterBase
    Indicates that one entity is the sister of another, sharing at least one parent and being female relative to the other entity.
  • D. sisterHouse chosen
    Indicates that two houses or organizations are formally paired or affiliated as sister entities, typically sharing a close, cooperative relationship.
  • E. sisterPillar
    Indicates a relationship where one pillar is considered the sister (a closely related or counterpart structure) to another pillar.
  • 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_69f76e9771e08190a690834e3cd20654 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb34e5576881909394355c8ec6ddd2 completed May 6, 2026, 12:32 p.m.
PD Predicate disambiguation batch_69fb2f6171e88190bf1e0ee6a644b6a9 completed May 6, 2026, 12:09 p.m.
Created at: May 3, 2026, 4:14 p.m.