Triple
T14237822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gausdal municipality |
E352931
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Gausa
Gausa is a river in Innlandet county, Norway, known for flowing through Gausdal and into the Gudbrandsdalslågen.
|
E1088193
|
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: Gausa | Statement: [Gausdal municipality, hasRiver, Gausa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gausa Context triple: [Gausdal municipality, hasRiver, Gausa]
-
A.
Gusau
Gusau is a major city in northwestern Nigeria that serves as the administrative and economic hub of Zamfara State.
-
B.
Egau
Egau is a small river in the German state of Baden-Württemberg that flows through the district of Heidenheim.
-
C.
Soroa
Soroa is a small Cuban village and popular ecotourism destination known for its lush mountain scenery, waterfalls, and orchid garden.
-
D.
Esosa
Esosa is a costume designer best known for her acclaimed work on the Broadway production "Motown: The Musical."
-
E.
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
- 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: Gausa Triple: [Gausdal municipality, hasRiver, Gausa]
Generated description
Gausa is a river in Innlandet county, Norway, known for flowing through Gausdal and into the Gudbrandsdalslågen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gausa Target entity description: Gausa is a river in Innlandet county, Norway, known for flowing through Gausdal and into the Gudbrandsdalslågen.
-
A.
Gusau
Gusau is a major city in northwestern Nigeria that serves as the administrative and economic hub of Zamfara State.
-
B.
Egau
Egau is a small river in the German state of Baden-Württemberg that flows through the district of Heidenheim.
-
C.
Soroa
Soroa is a small Cuban village and popular ecotourism destination known for its lush mountain scenery, waterfalls, and orchid garden.
-
D.
Esosa
Esosa is a costume designer best known for her acclaimed work on the Broadway production "Motown: The Musical."
-
E.
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281f80548190ad489c418f27e82c |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2b2363f881909e04edd850166dd5 |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2cf1a1248190a97644dadf1717bc |
completed | May 8, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:08 a.m.