Triple
T22151581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamlebyen Church |
E547425
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Old Town, Oslo |
E523927
|
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: Old Town, Oslo | Statement: [Gamlebyen Church, locatedIn, Old Town, Oslo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Town, Oslo Context triple: [Gamlebyen Church, locatedIn, Old Town, Oslo]
-
A.
Oslo East
chosen
Oslo East is the eastern part of Norway’s capital city, often associated with working-class neighborhoods, cultural diversity, and a strong local football supporter culture.
-
B.
Marienlyst, Oslo
Marienlyst, Oslo is a neighborhood in Norway’s capital city best known as the long-time home of the Norwegian Broadcasting Corporation’s main facilities.
-
C.
Sentrum, Oslo
Sentrum is the central borough of Oslo, Norway, encompassing the city’s main downtown area, key commercial districts, and major transport hubs.
-
D.
Lyngseidet
Lyngseidet is a small coastal village in northern Norway, known for its scenic fjord and mountain surroundings on the Lyngen Peninsula.
-
E.
Majorstuen, Oslo
Majorstuen is a central neighborhood in Oslo, Norway, known for its busy transport hub, shopping streets, and cultural institutions.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f4b05c8190a824f55804f6d4d5 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae047da448190be302a3e28360a14 |
completed | May 18, 2026, 9:47 a.m. |
Created at: April 16, 2026, 8:33 p.m.