Triple
T578226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rum |
E15002
|
entity |
| Predicate | locatedNear |
P294
|
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: [Rum, locatedNear, Muck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muck Context triple: [Rum, locatedNear, 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.
Moss
Moss is a coastal town and municipality in southeastern Norway known for its industrial history, cultural life, and role as a regional hub in Østfold.
-
C.
Moss
Moss is a masculine given name most notably borne by American playwright and director Moss Hart.
-
D.
Gliz
Gliz is one of the official mascots of the 2006 Winter Olympics in Turin, Italy, depicted as a stylized anthropomorphic ice cube symbolizing winter sports and modernity.
-
E.
The Stump
The Stump is the popular nickname for the towering parish church of St Botolph in Boston, Lincolnshire, renowned for its massive, landmark tower visible for miles across the flat surrounding landscape.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b69fed88190b5558d4ebd5047a1 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501c1b8448190847197d984f211c3 |
completed | March 2, 2026, 3:19 a.m. |
Created at: March 1, 2026, 7:33 p.m.