Triple
T35083168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayliss |
E1012501
|
entity |
| Predicate | isInNorthernCalifornia |
P182505
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bayliss, isInNorthernCalifornia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInNorthernCalifornia Context triple: [Bayliss, isInNorthernCalifornia, true]
-
A.
isInNorthernOrSouthernCalifornia
Indicates that an entity is located within either the northern or southern region of California.
-
B.
isInNorthernMichigan
Indicates that the subject is located within the geographic region commonly referred to as Northern Michigan.
-
C.
isInlandEmpireCity
Indicates that a city is located within California’s Inland Empire region.
-
D.
isNorthernDistrictOf
Indicates that one district is geographically located in the northern part of, or constitutes the northern district of, another administrative or territorial entity.
-
E.
isInNortheasternUS
Indicates that a location or entity is situated within the northeastern region of the United States.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.