Triple

T10647436
Position Surface form Disambiguated ID Type / Status
Subject Hawthorne Hotel E250870 entity
Predicate hasPhoneNumber P64214 FINISHED
Object +1-978-744-4080 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: +1-978-744-4080 | Statement: [Hawthorne Hotel, hasPhoneNumber, +1-978-744-4080]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhoneNumber
Context triple: [Hawthorne Hotel, hasPhoneNumber, +1-978-744-4080]
  • A. hasTelephoneService
    Indicates that a subject is provided with or connected to telephone service.
  • B. hasContactMethod
    Indicates that an entity has a specific way or channel through which it can be contacted.
  • C. hasCallInNumber chosen
    Indicates that an entity has an associated telephone number designated for receiving incoming calls.
  • D. associatedNumber
    Indicates a relationship where a specific number is linked or assigned to an entity as its associated value.
  • E. hasNonEmergencyNumber
    Indicates that an entity is associated with a phone number intended for non-emergency, routine, or informational contact rather than urgent or emergency situations.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
PD Predicate disambiguation batch_69d6dd83b114819098e84dc658e82d7e completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:05 p.m.