Triple

T1511187
Position Surface form Disambiguated ID Type / Status
Subject MIT School of Architecture and Planning E32016 entity
Predicate abbreviation P43 FINISHED
Object SA+P
SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
 E172398 NE FINISHED

How this triple was built (4 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: SA+P | Statement: [MIT School of Architecture and Planning, abbreviation, SA+P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SA+P
Context triple: [MIT School of Architecture and Planning, abbreviation, SA+P]
  • A. SA2
    SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
  • B. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • C. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • D. SA6
    SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
  • E. SA4
    SA4 is a 3GPP working group responsible for the standardization of multimedia codecs, systems, and services in mobile communications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SA+P
Triple: [MIT School of Architecture and Planning, abbreviation, SA+P]
Generated description
SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SA+P
Target entity description: SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
  • A. SA2
    SA2 is a 3GPP working group responsible for defining the overall system architecture and functional specifications of mobile communication networks.
  • B. SAU
    SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
  • C. SA3
    SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
  • D. SA6
    SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
  • E. SA4
    SA4 is a 3GPP working group responsible for the standardization of multimedia codecs, systems, and services in mobile communications.
  • F. None of above. chosen

Provenance (5 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61db41c88190a2d97cc9cbbc3f06 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad233e6e748190929b3f339cc9bd4b completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23e279e88190ae341af34ea98487 completed March 8, 2026, 7:23 a.m.
NED2 Entity disambiguation (via description) batch_69ad24f7d8b081909241ab3995172f4d completed March 8, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:26 p.m.