Triple
T23703145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir William Davison |
E585646
|
entity |
| Predicate | continentOfCountryRepresented |
P37277
|
FINISHED |
| Object | Europe |
—
|
NE NERFINISHED |
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: Europe | Statement: [Sir William Davison, continentOfCountryRepresented, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfCountryRepresented Context triple: [Sir William Davison, continentOfCountryRepresented, Europe]
-
A.
continentOfRepresentation
chosen
Indicates that one entity is the continent in which another entity is represented, based on its primary or official affiliation.
-
B.
continentOfOffice
Indicates the continent on which a given office is geographically located.
-
C.
continentOfGoverningBody
Indicates the continent on which the governing body responsible for a given entity is located.
-
D.
continentOfCountry
Indicates that a given continent is the one on which a specified country is geographically located.
-
E.
continentOfLocation
Indicates that one entity is the continent on which the other entity is geographically located.
- 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_69e24904bd508190abfcb74855de2918 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b684e0a88190b7edeb102585ae9d |
completed | April 29, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:53 p.m.