Triple

T7335
Position Surface form Disambiguated ID Type / Status
Subject Advanced Technological Education E144 entity
Predicate programElementCode P508 FINISHED
Object ATE E960 NE FINISHED

How this triple was built (3 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: ATE | Statement: [Advanced Technological Education, programElementCode, ATE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ATE
Context triple: [Advanced Technological Education, programElementCode, ATE]
  • A. ATE chosen
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • B. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • C. You
    "You" refers to the collective community of internet users whose user-generated content and online collaboration transformed media, culture, and communication in the digital age.
  • D. Ayer
    Ayer is a small town in north-central Massachusetts that functions as a regional commuter hub with rail connections to Boston.
  • E. MX
    MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: programElementCode
Context triple: [Advanced Technological Education, programElementCode, ATE]
  • A. numericCode chosen
    Indicates that an entity is associated with a specific numerical identifier or classification code.
  • B. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • C. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • D. FIPSCode
    Indicates the standardized Federal Information Processing Standards (FIPS) code assigned to identify a specific geographic or administrative entity.
  • E. primaryLanguageOfInstruction
    Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
  • F. None of above.

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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a241a55ac081909e95b71c97db8140 completed Feb. 28, 2026, 1:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248d5b92481909a846984a8639067 completed Feb. 28, 2026, 1:45 a.m.
PD Predicate disambiguation batch_69a23fe1cf38819080ea56c40bf2632e completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.