Triple
T15529041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strand |
E370161
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Idse |
E1162503
|
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: Idse | Statement: [Strand, hasIsland, Idse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Idse Context triple: [Strand, hasIsland, Idse]
-
A.
Idse
chosen
Idse is a small village in Strand municipality in Rogaland county, Norway, known for its scenic island setting and fjord landscape.
-
B.
Eiden
Eiden is a given name that functions as a variant spelling of the name Aidan.
-
C.
Issel
Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
-
D.
Bavier
Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
-
E.
Idstein
Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff45549e4881908ab0769e49ba5dc4 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:05 a.m.