Triple
T15966225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islands of the Forth |
E387198
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | The Lamb |
E83008
|
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 Lamb | Statement: [Islands of the Forth, hasIsland, The Lamb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lamb Context triple: [Islands of the Forth, hasIsland, The Lamb]
-
A.
The Lamb
chosen
The Lamb is a small uninhabited rocky islet in the Firth of Forth, Scotland, known for its seabird colonies and proximity to the island of Fidra.
-
B.
The Lamb
The Lamb is a choral composition by British composer John Tavener, renowned for its serene, minimalist setting of William Blake’s poem of the same name.
-
C.
The Lamb
The Lamb is a football stadium in Tamworth, England, serving as the long-standing home of Tamworth F.C.
-
D.
Little Lamb
Little Lamb is a film and television production company known for producing the black-and-white romantic drama "Malcolm & Marie."
-
E.
The Tyger
"The Tyger" is a famous poem by William Blake that explores themes of creation, innocence, and experience through the striking image of a fearsome tiger.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15726536881908b603e43ae1acafb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe87149081909ac6129126f597c2 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.