Triple
T22877974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stiftsgården |
E567377
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Munkegata |
—
|
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: Munkegata | Statement: [Stiftsgården, locatedOn, Munkegata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munkegata Context triple: [Stiftsgården, locatedOn, Munkegata]
-
A.
Munkegata
chosen
Munkegata is a central street in Trondheim, Norway, known for its shops, services, and role as a key thoroughfare in the Midtbyen city center.
-
B.
Sannergata
Sannergata is a street in the Grünerløkka district of Oslo, Norway, known for its urban character and proximity to cafés, shops, and residential areas.
-
C.
Krokstadøra
Krokstadøra is a small village in Trøndelag county, Norway, situated along the Orkla River and serving as a local community center within the municipality.
-
D.
Namegata
Namegata is a city in Ibaraki Prefecture, Japan, known for its agricultural production and location along Lake Kasumigaura.
-
E.
Dokkveien
Dokkveien is a street located in the Vika neighborhood of central Oslo, Norway, near the city’s waterfront and business district.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5966c08190a9ded9b19b166112 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.