Triple

T20331615
Position Surface form Disambiguated ID Type / Status
Subject 4 Infinite Loop E492496 entity
Predicate neighboringBuilding P231 FINISHED
Object 3 Infinite Loop E490121 NE 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: 3 Infinite Loop | Statement: [4 Infinite Loop, neighboringBuilding, 3 Infinite Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 3 Infinite Loop
Context triple: [4 Infinite Loop, neighboringBuilding, 3 Infinite Loop]
  • A. 3 Infinite Loop chosen
    3 Infinite Loop is one of the office buildings on Apple’s former Infinite Loop headquarters campus in Cupertino, California.
  • B. 4 Infinite Loop
    4 Infinite Loop is one of the main office buildings on Apple’s former Infinite Loop corporate campus in Cupertino, California.
  • C. 5 Infinite Loop
    5 Infinite Loop is one of the main office buildings on Apple’s historic Infinite Loop corporate campus in Cupertino, California.
  • D. 1 Infinite Loop
    1 Infinite Loop is the iconic former headquarters address of Apple Inc. in Cupertino, California.
  • E. 2 Infinite Loop
    2 Infinite Loop is one of the main office buildings on Apple’s former Infinite Loop corporate campus in Cupertino, California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087608cf4081908ae5c7b9a21e69af completed May 16, 2026, 1:50 p.m.
Created at: April 16, 2026, 11:22 a.m.