Triple
T4458884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inland Norway University of Applied Sciences |
E98200
|
entity |
| Predicate | hasCampusIn |
P4623
|
FINISHED |
| Object |
Rena
Rena is a Norwegian town that hosts one of the campuses of Inland Norway University of Applied Sciences.
|
E442946
|
NE FINISHED |
How this triple was built (4 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: Rena | Statement: [Inland Norway University of Applied Sciences, hasCampusIn, Rena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rena Context triple: [Inland Norway University of Applied Sciences, hasCampusIn, Rena]
-
A.
Marina
Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
-
B.
Marina
Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
-
C.
Marina
Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
-
D.
Henrietta
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
-
E.
Henrietta
Henrietta is a suburban community in western New York State, located near Rochester within the Rust Belt region along the Interstate 90 corridor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rena Triple: [Inland Norway University of Applied Sciences, hasCampusIn, Rena]
Generated description
Rena is a Norwegian town that hosts one of the campuses of Inland Norway University of Applied Sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rena Target entity description: Rena is a Norwegian town that hosts one of the campuses of Inland Norway University of Applied Sciences.
-
A.
Marina
Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
-
B.
Marina
Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
-
C.
Marina
Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
-
D.
Henrietta
Henrietta is a feminine given name of English origin, historically popular in the 18th and 19th centuries and borne by several notable figures.
-
E.
Henrietta
Henrietta is a suburban community in western New York State, located near Rochester within the Rust Belt region along the Interstate 90 corridor.
- F. None of above. chosen
Provenance (5 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6283811f0819095aa671ac593bd8d |
completed | March 15, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69b629532cac8190b959adc0ef13305a |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62d9c287c8190a305f9d21517f913 |
completed | March 15, 2026, 3:55 a.m. |
Created at: March 12, 2026, 11:33 p.m.