Triple
T15276360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sogn og Fjordane |
E365150
|
entity |
| Predicate | containsPart |
P35
|
FINISHED |
| Object | Luster |
E581151
|
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: Luster | Statement: [Sogn og Fjordane, containsPart, Luster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luster Context triple: [Sogn og Fjordane, containsPart, Luster]
-
A.
Luster
Luster is a minor but significant character in William Faulkner’s novel "The Sound and the Fury," serving as a young Black caretaker to Benjy Compson and reflecting the social and racial dynamics of the Compson household.
-
B.
Luster
chosen
Luster is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, glaciers, and historic stave churches.
-
C.
Glisten
"Glisten" is a track from the EP *Available Light*, likely showcasing the release’s atmospheric and reflective musical style.
-
D.
Lustre
Lustre is a high-performance parallel distributed file system widely used in large-scale supercomputing and HPC environments to provide fast, scalable access to shared data.
-
E.
Pearlstine
Pearlstine is a surname most notably associated with American journalist and media executive Norman Pearlstine.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef7186d481909067f8088f3ea497 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.