Triple
T20395298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grenland and Telemark area |
E500186
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bamble |
—
|
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: Bamble | Statement: [Grenland and Telemark area, contains, Bamble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bamble Context triple: [Grenland and Telemark area, contains, Bamble]
-
A.
Bamble
chosen
Bamble is a coastal municipality in Vestfold og Telemark county in southeastern Norway.
-
B.
Gombroon
Gombroon is the former name of Bandar Abbas, a historically significant Persian Gulf port city in southern Iran.
-
C.
Sebergham
Sebergham is a rural village and civil parish in Cumbria, England, known for its scenic countryside and historic character.
-
D.
Bisham
Bisham is a village in Berkshire, England, known for its historic riverside setting on the River Thames and proximity to the town of Marlow.
-
E.
Bisham
Bisham is a town in Pakistan’s Khyber Pakhtunkhwa province, known as a key stop along the Karakoram Highway and a gateway to the mountainous northern regions.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67912d7948190ac2fda8ce95e5c70 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.