Triple
T19989989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5 Infinite Loop |
E494034
|
entity |
| Predicate | campusShape |
P138233
|
FINISHED |
| Object | ring-like layout |
—
|
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: ring-like layout | Statement: [5 Infinite Loop, campusShape, ring-like layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusShape Context triple: [5 Infinite Loop, campusShape, ring-like layout]
-
A.
campusStructure
Indicates a structural or organizational relationship between parts of a campus and the campus as a whole (e.g., buildings, facilities, or areas belonging to or forming the campus).
-
B.
cityCampus
Indicates that a campus is located within or associated with a particular city.
-
C.
campusArea
Indicates that one entity is the physical area or spatial extent of a campus associated with another entity.
-
D.
campusLandmark
Indicates that something serves as a notable or recognizable landmark located on or associated with a campus.
-
E.
campusDesignation
Indicates the formal classification or status assigned to a particular campus within an institution or system.
- F. None of above. chosen
Provenance (4 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdecf108190a5b215fd25bc4dda |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:30 p.m.