Triple
T4458896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inland Norway University of Applied Sciences |
E98200
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
INN
INN is the commonly used abbreviation for Inland Norway University of Applied Sciences, a higher education institution in Norway.
|
E442949
|
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: INN | Statement: [Inland Norway University of Applied Sciences, abbreviation, INN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INN Context triple: [Inland Norway University of Applied Sciences, abbreviation, INN]
-
A.
Inn
The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
B.
INNSA
INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
-
C.
INNANETAPE
INNANETAPE is a critically acclaimed 2013 mixtape by Chicago rapper Vic Mensa that blends introspective lyrics with experimental, jazz- and electronic-influenced hip-hop production.
-
D.
The Inn Kitchen
"The Inn Kitchen" is a short story by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that evokes the atmosphere and characters of an English inn.
-
E.
IN-AN
IN-AN is the ISO 3166-2 code representing the Andaman and Nicobar Islands union territory of India.
- 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: INN Triple: [Inland Norway University of Applied Sciences, abbreviation, INN]
Generated description
INN is the commonly used abbreviation for Inland Norway University of Applied Sciences, a higher education institution in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INN Target entity description: INN is the commonly used abbreviation for Inland Norway University of Applied Sciences, a higher education institution in Norway.
-
A.
Inn
The Inn is a major river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
B.
INNSA
INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
-
C.
INNANETAPE
INNANETAPE is a critically acclaimed 2013 mixtape by Chicago rapper Vic Mensa that blends introspective lyrics with experimental, jazz- and electronic-influenced hip-hop production.
-
D.
The Inn Kitchen
"The Inn Kitchen" is a short story by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that evokes the atmosphere and characters of an English inn.
-
E.
IN-AN
IN-AN is the ISO 3166-2 code representing the Andaman and Nicobar Islands union territory of India.
- 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.