Triple
T10857416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simister Island interchange |
E256303
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Simister |
E834859
|
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: Simister | Statement: [Simister Island interchange, nearSettlement, Simister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simister Context triple: [Simister Island interchange, nearSettlement, Simister]
-
A.
Simister
chosen
Simister is a small village in the Metropolitan Borough of Bury, Greater Manchester, England.
-
B.
Symbister
Symbister is the principal village and harbour on the island of Whalsay in the Shetland Islands of Scotland.
-
C.
Grimus
Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
-
D.
Deliamber
Deliamber is a powerful and enigmatic sorcerer from Robert Silverberg’s Majipoor series, serving as one of the key magical advisors and allies to Lord Valentine.
-
E.
Ursem
Ursem is a village in the Dutch province of North Holland, known for its rural character and traditional polder 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751377da88190a7244bb9d6b0c2ec |
completed | April 9, 2026, 7:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb197808c8190b1c80aeb2144a909 |
completed | April 14, 2026, 9:28 p.m. |
Created at: April 8, 2026, 9:20 p.m.