Triple
T13328353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åråsen Stadion |
E317500
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Nitelva river
Nitelva river is a river in southeastern Norway that flows through the Romerike region and past the town of Lillestrøm before joining the Glomma.
|
E1103780
|
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: Nitelva river | Statement: [Åråsen Stadion, locatedNear, Nitelva river]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nitelva river Context triple: [Åråsen Stadion, locatedNear, Nitelva river]
-
A.
Sivni River
The Sivni River is a local watercourse in the Sehore region of Madhya Pradesh, India, contributing to the area's agriculture and ecology.
-
B.
Velino River
The Velino River is a watercourse in central Italy that flows through the city of Rieti before joining the Nera River near Terni.
-
C.
Varbitsa River
The Varbitsa River is a tributary watercourse in southern Bulgaria that feeds into the Arda River within the Maritsa river basin.
-
D.
Spila River
The Spila River is a watercourse in Montenegro that flows into the scenic Bay of Kotor on the Adriatic coast.
-
E.
Sutla River
The Sutla River is a border river in Central Europe that flows between Slovenia and Croatia, passing by villages such as Kumrovec before joining the Sava River.
- 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: Nitelva river Triple: [Åråsen Stadion, locatedNear, Nitelva river]
Generated description
Nitelva river is a river in southeastern Norway that flows through the Romerike region and past the town of Lillestrøm before joining the Glomma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nitelva river Target entity description: Nitelva river is a river in southeastern Norway that flows through the Romerike region and past the town of Lillestrøm before joining the Glomma.
-
A.
Sivni River
The Sivni River is a local watercourse in the Sehore region of Madhya Pradesh, India, contributing to the area's agriculture and ecology.
-
B.
Velino River
The Velino River is a watercourse in central Italy that flows through the city of Rieti before joining the Nera River near Terni.
-
C.
Varbitsa River
The Varbitsa River is a tributary watercourse in southern Bulgaria that feeds into the Arda River within the Maritsa river basin.
-
D.
Spila River
The Spila River is a watercourse in Montenegro that flows into the scenic Bay of Kotor on the Adriatic coast.
-
E.
Sutla River
The Sutla River is a border river in Central Europe that flows between Slovenia and Croatia, passing by villages such as Kumrovec before joining the Sava River.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992e4f908190a6f172bf910cffb8 |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2ae47881909e0e6c23473a9e1c |
completed | May 8, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69fd7b9ffa8c81909b53143b119711d9 |
completed | May 8, 2026, 5:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7bd58a6881908479b7608b7f1f3a |
completed | May 8, 2026, 5:59 a.m. |
Created at: April 9, 2026, 9:30 p.m.