Triple
T21217002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rural City of Murray Bridge |
E522861
|
entity |
| Predicate | federalElectorate |
P1971
|
FINISHED |
| Object | Barker |
—
|
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: Barker | Statement: [Rural City of Murray Bridge, federalElectorate, Barker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barker Context triple: [Rural City of Murray Bridge, federalElectorate, Barker]
-
A.
Barker
Barker is a surname most famously associated with Bob Barker, the longtime host of the American television game show "The Price Is Right."
-
B.
Barker
Barker was a prestigious British coachbuilding firm renowned for crafting luxurious custom bodies for high-end automobiles in the early 20th century.
-
C.
Barker
chosen
Barker is an Australian federal electoral division in South Australia, known for encompassing extensive rural and regional communities.
-
D.
McBarker
McBarker is Mr. Magoo’s loyal pet dog from the classic animated cartoon series.
-
E.
The Barker
The Barker is the English title of the 1930 French film "Le Bonimenteur," a comedy about a fast-talking showman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734744dcc81908b3065adc93b4b98 |
completed | April 21, 2026, 8:25 a.m. |
Created at: April 16, 2026, 3:41 p.m.