Triple

T3302285
Position Surface form Disambiguated ID Type / Status
Subject Franklin expedition E69362 entity
Predicate numberOfOfficers P24266 FINISHED
Object 24 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: 24 | Statement: [Franklin expedition, numberOfOfficers, 24]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfOfficers
Context triple: [Franklin expedition, numberOfOfficers, 24]
  • A. officersAre
    Indicates that certain individuals hold the role or position of officers within a specified group, organization, or context.
  • B. officersCalled
    Indicates that law enforcement officers were summoned or notified to respond to a situation or incident.
  • C. maximumAuthorizedPolicePersonnel
    Indicates the highest number of police personnel that are officially permitted or authorized for a given jurisdiction, unit, or context.
  • D. personnelStrength chosen
    Indicates the number or capacity of people assigned to or available for a particular unit, organization, or operation.
  • E. policeNumber
    Indicates that an entity is associated with a specific police-related identification or reference number.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a9450481909f0d630e5593085e completed March 8, 2026, 5:23 p.m.
PD Predicate disambiguation batch_69ada42625308190be257f16a623a410 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:11 p.m.