Triple
T17726991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spydeberg |
E442487
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Askim |
—
|
NE NERFINISHED |
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: Askim | Statement: [Spydeberg, locatedNear, Askim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Askim Context triple: [Spydeberg, locatedNear, Askim]
-
A.
Askim
chosen
Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
-
B.
Ashaki
Ashaki is known as the spouse of Geronimo Pratt, a prominent former Black Panther Party leader and civil rights activist.
-
C.
Asimjeeg
Asimjeeg is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
-
D.
Agim
Agim is a masculine given name commonly used in Albanian-speaking regions.
-
E.
Arikem
Arikem is a primary subgroup of the Tupian language family, comprising several indigenous languages once spoken in the Amazon region of Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e25a80819096289fba4ecb227f |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:07 a.m.