Triple
T19450779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 Infinite Loop |
E486607
|
entity |
| Predicate | hasBuilding |
P105
|
FINISHED |
| Object | Infinite Loop 5 |
—
|
NE NERFINISHED |
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: Infinite Loop 5 | Statement: [1 Infinite Loop, hasBuilding, Infinite Loop 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Infinite Loop 5 Context triple: [1 Infinite Loop, hasBuilding, Infinite Loop 5]
-
A.
2 Infinite Loop
2 Infinite Loop is one of the main office buildings on Apple’s former Infinite Loop corporate campus in Cupertino, California.
-
B.
5 Infinite Loop
chosen
5 Infinite Loop is one of the main office buildings on Apple’s historic Infinite Loop corporate campus in Cupertino, California.
-
C.
1 Infinite Loop
1 Infinite Loop is the iconic former headquarters address of Apple Inc. in Cupertino, California.
-
D.
A Loop
A Loop is a modern streetcar route in Portland, Oregon, that provides circulator service through the central city and adjacent neighborhoods as part of the Portland Streetcar system.
-
E.
3 Infinite Loop
3 Infinite Loop is one of the office buildings on Apple’s former Infinite Loop headquarters campus in Cupertino, California.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338db7c081908793f23592ebef6b |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.