Triple
T33425765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zambezi expedition |
E855969
|
entity |
| Predicate | hasAuthorOfReport |
P4244
|
FINISHED |
| Object | David Livingstone |
—
|
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: David Livingstone | Statement: [Zambezi expedition, hasAuthorOfReport, David Livingstone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorOfReport Context triple: [Zambezi expedition, hasAuthorOfReport, David Livingstone]
-
A.
hasAuthorOf
Indicates that one entity is the author or creator of another entity (such as a work, document, or publication).
-
B.
hasAuthor
chosen
Indicates that an entity is written or created by a specific author.
-
C.
hasContributorRoleOfAuthor
Indicates that an entity participates as a contributor specifically in the role of an author in relation to another entity.
-
D.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
E.
hasAuthorDescribed
Indicates that one entity is an author who has provided a description of another entity.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 1, 2026, 1:36 a.m.