Triple
T4365667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardangervidda |
E98764
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Geilo
Geilo is a Norwegian mountain village and popular year-round resort known for its skiing, hiking, and proximity to the Hardangervidda plateau.
|
E433543
|
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: Geilo | Statement: [Hardangervidda, nearbyCity, Geilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geilo Context triple: [Hardangervidda, nearbyCity, Geilo]
-
A.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
-
B.
Geirröd
Geirröd is a fearsome giant from Norse mythology, best known for luring the god Thor into a deadly trap in his hall in Jotunheim.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Geir
Geir is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and meaning "spear."
-
E.
Lögberg
Lögberg is the historic Law Rock at Þingvellir in Iceland, where the Althing, one of the world’s oldest parliaments, traditionally convened and laws were proclaimed.
- 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: Geilo Triple: [Hardangervidda, nearbyCity, Geilo]
Generated description
Geilo is a Norwegian mountain village and popular year-round resort known for its skiing, hiking, and proximity to the Hardangervidda plateau.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geilo Target entity description: Geilo is a Norwegian mountain village and popular year-round resort known for its skiing, hiking, and proximity to the Hardangervidda plateau.
-
A.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
-
B.
Geirröd
Geirröd is a fearsome giant from Norse mythology, best known for luring the god Thor into a deadly trap in his hall in Jotunheim.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Geir
Geir is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and meaning "spear."
-
E.
Lögberg
Lögberg is the historic Law Rock at Þingvellir in Iceland, where the Althing, one of the world’s oldest parliaments, traditionally convened and laws were proclaimed.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35200263081909bb326a4d7a8db99 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbcbbd1881908eb9f0ea6b2fe16b |
completed | March 14, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69b5dcf36dfc8190847925dbed92c059 |
completed | March 14, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5ddad45b8819082ac7a3a9c5f2f07 |
completed | March 14, 2026, 10:14 p.m. |
Created at: March 12, 2026, 11:17 p.m.