Triple
T15528799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molde University College |
E370154
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | HiMolde |
E75759
|
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: HiMolde | Statement: [Molde University College, shortName, HiMolde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HiMolde Context triple: [Molde University College, shortName, HiMolde]
-
A.
Molde
chosen
Molde is a coastal town in western Norway known for its scenic fjord views, mild climate, and annual international jazz festival.
-
B.
Holtemme
The Holtemme is a small river in the Harz region of Saxony-Anhalt, Germany, flowing through towns such as Wernigerode before joining the Bode.
-
C.
Modum
Modum is a municipality in Buskerud, Norway, known for its rural landscapes, historic industrial sites, and recreational areas such as the Vikersund ski flying hill.
-
D.
Holmen
Holmen is a historic waterfront district in Copenhagen, Denmark, known for its former naval base, repurposed industrial buildings, and vibrant cultural and residential developments.
-
E.
Holmen
Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5b989c8190a76612df167ba1dd |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 4:05 a.m.