Triple
T19450804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 Infinite Loop |
E486607
|
entity |
| Predicate | campusStatusAfter2017 |
P65575
|
FINISHED |
| Object | major Apple office and R&D site but not primary headquarters |
—
|
LITERAL 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: major Apple office and R&D site but not primary headquarters | Statement: [1 Infinite Loop, campusStatusAfter2017, major Apple office and R&D site but not primary headquarters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusStatusAfter2017 Context triple: [1 Infinite Loop, campusStatusAfter2017, major Apple office and R&D site but not primary headquarters]
-
A.
statusAfter2017
chosen
Indicates the status or condition an entity has specifically after the year 2017.
-
B.
campusLaterUsedFor
Indicates that a particular campus was subsequently repurposed or occupied for a different use at a later time.
-
C.
campusOpeningYear
Indicates the calendar year in which a campus first officially opened or began operation.
-
D.
campusMovedTo
Indicates that the location of a campus has been relocated from one place to another.
-
E.
hasCampusState
Indicates that an institution’s campus is located within a specified state or state-level administrative region.
- F. None of above.
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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338db7c081908793f23592ebef6b |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.