Triple
T12893010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AM/FM |
E308414
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “The River” |
E40117
|
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: “The River” | Statement: [AM/FM, hasPart, “The River”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “The River” Context triple: [AM/FM, hasPart, “The River”]
-
A.
Our River
The Our River is a small river in western Europe that flows along parts of the border between Luxembourg and Germany before joining the Moselle.
-
B.
A River for Him
"A River for Him" is a song by the American indie rock band Bluebird.
-
C.
Down to the River
"Down to the River" is the debut studio album by the Allman Betts Band, showcasing their modern take on Southern rock rooted in the legacy of the Allman Brothers Band.
-
D.
Every River
"Every River" is a song by the Scottish Celtic rock band Runrig, known for its emotive melody and themes of longing and connection.
-
E.
The River
chosen
The River is a 1980 double album by Bruce Springsteen that blends rock, folk, and heartland storytelling, featuring themes of working-class struggle and emotional turmoil.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55be3288190b2bc0bd197431db3 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.