Triple
T22151478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamlebyen Cemetery |
E547422
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Gamlebyen gravlund |
E547422
|
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: Gamlebyen gravlund | Statement: [Gamlebyen Cemetery, hasNameInLanguage, Gamlebyen gravlund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamlebyen gravlund Context triple: [Gamlebyen Cemetery, hasNameInLanguage, Gamlebyen gravlund]
-
A.
Gamlebyen
Gamlebyen is the historic Old Town area of Oslo, known as the city's medieval core with archaeological sites, ruins, and preserved heritage buildings.
-
B.
Gamle Bybro
Gamle Bybro is a historic 17th-century wooden bridge in Trondheim, Norway, famed for its distinctive red arches and views over the Nidelva River and the Bakklandet district.
-
C.
Gamlebyen Church
Gamlebyen Church is a historic parish church located in the Old Town district of Oslo, Norway.
-
D.
Gamlebyen Cemetery
chosen
Gamlebyen Cemetery is a historic burial ground located in the Gamle Oslo district of Oslo, Norway.
-
E.
Viggbyholm
Viggbyholm is a residential urban area in the northern Stockholm region of Sweden, known for its proximity to water, green spaces, and commuter connections into central Stockholm.
- 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_6a0a9eb8d398819086031725209b6712 |
completed | May 18, 2026, 5:08 a.m. |
Created at: April 16, 2026, 8:33 p.m.