Triple
T7545205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manning River |
E178383
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Old Bar |
E102827
|
NE 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: Old Bar | Statement: [Manning River, flowsThrough, Old Bar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Bar Context triple: [Manning River, flowsThrough, Old Bar]
-
A.
Old Bar
chosen
Old Bar is a small coastal town in New South Wales, Australia, known for its beaches, surfing, and relaxed holiday atmosphere.
-
B.
Old Mill
Old Mill is a classic dark boat ride at Kennywood amusement park, known for its long history and traditional tunnel-of-love–style theming.
-
C.
Old Mill
Old Mill is a historic, picturesque grist mill in North Little Rock, Arkansas, best known for appearing in the opening scenes of the film "Gone with the Wind."
-
D.
Old Well
Old Well is an iconic neoclassical rotunda and campus symbol of the University of North Carolina at Chapel Hill, traditionally associated with good luck for students who drink from it.
-
E.
Old Well
Old Well is a 1986 Chinese drama film directed by Wu Tianming and noted for its acclaimed cinematography by Zhang Yimou.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f21aa5c819085e8d1ecbd9b01e3 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.