Triple
T17022344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vita Havet |
E412976
|
entity |
| Predicate | situatedInResidenceOf |
P104987
|
FINISHED |
| Object | Swedish monarch |
—
|
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: Swedish monarch | Statement: [Vita Havet, situatedInResidenceOf, Swedish monarch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: situatedInResidenceOf Context triple: [Vita Havet, situatedInResidenceOf, Swedish monarch]
-
A.
inResidenceAt
chosen
Indicates that an entity lives or resides at a particular location or residence.
-
B.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
C.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
D.
residedOn
Indicates that an entity lived or had its primary dwelling at a specific location during a certain period.
-
E.
favoriteResidenceOf
Indicates that a particular residence is the one most preferred or liked by a given person or entity among all residences associated with them.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d1d2e48190bbcba129247c6c2e |
completed | April 18, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.