Triple

T5015345
Position Surface form Disambiguated ID Type / Status
Subject Infinite Loop campus E112728 entity
Predicate hasBuilding P105 FINISHED
Object 4 Infinite Loop
4 Infinite Loop is one of the main office buildings on Apple’s former Infinite Loop corporate campus in Cupertino, California.
 E492496 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: 4 Infinite Loop | Statement: [Infinite Loop campus, hasBuilding, 4 Infinite Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 4 Infinite Loop
Context triple: [Infinite Loop campus, hasBuilding, 4 Infinite Loop]
  • A. 3 Infinite Loop
    3 Infinite Loop is one of the office buildings on Apple’s former Infinite Loop headquarters campus in Cupertino, California.
  • B. 1 Infinite Loop
    1 Infinite Loop is the iconic former headquarters address of Apple Inc. in Cupertino, California.
  • C. 2 Infinite Loop
    2 Infinite Loop is one of the main office buildings on Apple’s former Infinite Loop corporate campus in Cupertino, California.
  • D. In the Loop
    In the Loop is a 2009 British political satire film, spun off from the TV series "The Thick of It," that lampoons government spin and the lead-up to war.
  • E. Skyline
    "Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
  • 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: 4 Infinite Loop
Triple: [Infinite Loop campus, hasBuilding, 4 Infinite Loop]
Generated description
4 Infinite Loop is one of the main office buildings on Apple’s former Infinite Loop corporate campus in Cupertino, California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 4 Infinite Loop
Target entity description: 4 Infinite Loop is one of the main office buildings on Apple’s former Infinite Loop corporate campus in Cupertino, California.
  • A. 3 Infinite Loop
    3 Infinite Loop is one of the office buildings on Apple’s former Infinite Loop headquarters campus in Cupertino, California.
  • B. 1 Infinite Loop
    1 Infinite Loop is the iconic former headquarters address of Apple Inc. in Cupertino, California.
  • C. 2 Infinite Loop
    2 Infinite Loop is one of the main office buildings on Apple’s former Infinite Loop corporate campus in Cupertino, California.
  • D. In the Loop
    In the Loop is a 2009 British political satire film, spun off from the TV series "The Thick of It," that lampoons government spin and the lead-up to war.
  • E. Skyline
    "Skyline" is a 2010 science fiction alien-invasion film known for its visual effects and ensemble cast, including Donald Faison.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd732e0b848190858407920e7aefd0 completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0ecf0d88190b459d9c29bfc005d completed March 21, 2026, 2:53 p.m.
NEDg Description generation batch_69beb252ca2c8190b1bf7978b50c7ef6 completed March 21, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69beb2b989788190b81e6f60398bd49d completed March 21, 2026, 3:01 p.m.
Created at: March 20, 2026, 1:35 p.m.