Triple

T22195711
Position Surface form Disambiguated ID Type / Status
Subject Balfron Tower E548541 entity
Predicate hasServiceTower P146794 FINISHED
Object separate circulation and service core 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: separate circulation and service core | Statement: [Balfron Tower, hasServiceTower, separate circulation and service core]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasServiceTower
Context triple: [Balfron Tower, hasServiceTower, separate circulation and service core]
  • A. hasTower
    Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
  • B. hasCommunicationTowers
    Indicates that one entity possesses, contains, or is equipped with communication towers used for transmitting or receiving signals.
  • C. hasTowerPosition
    Indicates that an entity occupies or is assigned a specific position or location within a tower.
  • D. hasTowerFunction
    Indicates that something serves the role or performs the function of a tower in relation to another entity.
  • E. hasServiceTo
    Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae6f7a881908cf1772326f91467 completed April 28, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e71b48576c8190a8e93738fd9cfda5 completed April 21, 2026, 6:38 a.m.
PDg Predicate description generation batch_69e7222e74248190a2d3671049f117f2 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 8:35 p.m.