Triple
T26220118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flinders |
E655741
|
entity |
| Predicate | hasFormerPrimeMinisterAsMember |
P134664
|
FINISHED |
| Object | Stanley Bruce |
—
|
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: Stanley Bruce | Statement: [Flinders, hasFormerPrimeMinisterAsMember, Stanley Bruce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerPrimeMinisterAsMember Context triple: [Flinders, hasFormerPrimeMinisterAsMember, Stanley Bruce]
-
A.
hasFormerPrimeMinister
chosen
Indicates that an entity has, among its past officeholders, at least one person who previously served as its prime minister.
-
B.
hasFormerPrimeMinisterBornHere
Indicates that at least one former prime minister was born at the referenced location.
-
C.
associatedPrimeMinister
Indicates that there is a relationship linking an entity (such as an event, organization, or period) to the prime minister who is connected with or responsible for it.
-
D.
lastPrimeMinister
Indicates that the subject is the most recent individual to have held the office of prime minister of the object entity.
-
E.
servedAsFirstMinisterWith
Indicates that a person held the position of First Minister in association with a specified government, administration, or jurisdiction.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 26, 2026, 8:55 p.m.