Triple
T17861025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Øvre Årdal |
E446070
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object |
Tyin
Tyin is a mountain lake and surrounding highland area in Norway, known for its scenic landscapes, hiking opportunities, and role as a gateway to the Jotunheimen mountains.
|
E1292690
|
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: Tyin | Statement: [Øvre Årdal, roadConnectionTo, Tyin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyin Context triple: [Øvre Årdal, roadConnectionTo, Tyin]
-
A.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
-
B.
Tainai
Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
-
C.
Teisen
Teisen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green spaces, and convenient access to public transportation.
-
D.
Tineg
Tineg is a remote, mountainous municipality in the province of Abra in the Philippines, known for its rugged terrain and largely rural, forested landscape.
-
E.
Tzia
Tzia is an alternative name for Kea, a Greek island in the Cyclades known for its traditional villages, beaches, and proximity to Athens.
- 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: Tyin Triple: [Øvre Årdal, roadConnectionTo, Tyin]
Generated description
Tyin is a mountain lake and surrounding highland area in Norway, known for its scenic landscapes, hiking opportunities, and role as a gateway to the Jotunheimen mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tyin Target entity description: Tyin is a mountain lake and surrounding highland area in Norway, known for its scenic landscapes, hiking opportunities, and role as a gateway to the Jotunheimen mountains.
-
A.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
-
B.
Tainai
Tainai is a city in northern Japan known for its rural landscapes, agriculture, and proximity to the Sea of Japan within Niigata Prefecture.
-
C.
Teisen
Teisen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, green spaces, and convenient access to public transportation.
-
D.
Tineg
Tineg is a remote, mountainous municipality in the province of Abra in the Philippines, known for its rugged terrain and largely rural, forested landscape.
-
E.
Tzia
Tzia is an alternative name for Kea, a Greek island in the Cyclades known for its traditional villages, beaches, and proximity to Athens.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c663f88819088c3c7e40e905156 |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030e9b5dcc81908ef4fd02bd8e6749 |
completed | May 12, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030ef815888190a1cdbea7f79d9be5 |
completed | May 12, 2026, 11:28 a.m. |
Created at: April 10, 2026, 10:17 a.m.