Triple
T244901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Governor's Mansion |
E5014
|
entity |
| Predicate | reoccupiedAsGovernorResidenceUntil |
P8681
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [California Governor's Mansion, reoccupiedAsGovernorResidenceUntil, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reoccupiedAsGovernorResidenceUntil Context triple: [California Governor's Mansion, reoccupiedAsGovernorResidenceUntil, 2019]
-
A.
servedAsStateCapitalUntil
Indicates that a location functioned as the official capital of a state up to a specified end date.
-
B.
servedAsResidenceOf
Indicates that something functioned as the home or dwelling place of a particular person or group.
-
C.
occupiesFormerEstateOf
Indicates that one entity currently resides in, uses, or controls a property that was previously the estate of another entity.
-
D.
formerResidenceOf
Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
-
E.
servedAsUSCapitalUntil
Indicates that a place functioned as the capital of the United States up to a specified end date.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d10ac248190a98dedabf5358668 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b63b0bc8190864d7324d339fb48 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2ca46c81908c61696f31e59a98 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.