Triple
T6908286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langholm |
E159865
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Muckle Toon |
E159752
|
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: Muckle Toon | Statement: [Langholm, hasNickname, Muckle Toon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muckle Toon Context triple: [Langholm, hasNickname, Muckle Toon]
-
A.
The Grouch
The Grouch is a song by the American punk rock band Green Day, featured on their 1997 album "Nimrod."
-
B.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
-
C.
Meekknoken
Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
-
D.
Toon
chosen
Toon is the popular nickname for Newcastle United Football Club and its supporters, especially associated with the club’s strong local identity in Newcastle upon Tyne.
-
E.
Boontling
Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9bd7b3c8190842eb83679c322d5 |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c74901aee08190a5e132200fd58c05 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:25 p.m.