Triple
T8439186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morar |
E199306
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Muck |
E16789
|
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: Muck | Statement: [Morar, hasNearbyIsland, Muck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muck Context triple: [Morar, 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.
Mucking
Mucking is a small village in Essex, England, historically known for its gravel pits and archaeological significance.
-
D.
Mudboy
Mudboy is the debut studio album by American rapper Sheck Wes, featuring his breakout hit "Mo Bamba" and establishing his raw, energetic style.
-
E.
Mud
Mud is a 2012 American drama film directed by Jeff Nichols, in which Matthew McConaughey plays a fugitive who befriends two boys on the Mississippi River.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe135657c81908ed8156fbfbef6ec |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d87403c8190b979af4979e43517 |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:08 p.m.