Triple
T23316537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sound of Rum |
E590722
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Muck |
—
|
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: Muck | Statement: [Sound of Rum, hasNearbyIsland, Muck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muck Context triple: [Sound of Rum, hasNearbyIsland, Muck]
-
A.
Muck
chosen
Muck is one of the Small Isles of Scotland, a tiny Inner Hebridean island known for its rugged coastline, wildlife, and remote rural character.
-
B.
Mudlij
Mudlij is a subtribe within the larger Arab tribal grouping of Kinana.
-
C.
Muck Water
Muck Water is a small river in Scotland that serves as a tributary of the River Doon, flowing through rural landscapes before joining the main watercourse.
-
D.
Mucking
Mucking is a small village in Essex, England, historically known for its gravel pits and archaeological significance.
-
E.
Muck City
Muck City is a football-rich agricultural region around Belle Glade, Florida, famed for its sugarcane fields and producing numerous NFL players.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197816024819086c547ba89f84286 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:06 p.m.