Triple
T528021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysgårdsbakken |
E10966
|
entity |
| Predicate | locatedInAdministrativeTerritory |
P40
|
FINISHED |
| Object |
Innlandet
Innlandet is a county in eastern Norway known for its inland landscapes, including mountains, forests, and important winter sports venues.
|
E65742
|
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: Innlandet | Statement: [Lysgårdsbakken, locatedInAdministrativeTerritory, Innlandet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innlandet Context triple: [Lysgårdsbakken, locatedInAdministrativeTerritory, Innlandet]
-
A.
Trøndelag
Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
-
B.
Indre
Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
-
C.
Odelsting
The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
-
D.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
E.
Tøyen
Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
- 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: Innlandet Triple: [Lysgårdsbakken, locatedInAdministrativeTerritory, Innlandet]
Generated description
Innlandet is a county in eastern Norway known for its inland landscapes, including mountains, forests, and important winter sports venues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Innlandet Target entity description: Innlandet is a county in eastern Norway known for its inland landscapes, including mountains, forests, and important winter sports venues.
-
A.
Trøndelag
Trøndelag is a central region of Norway known for its historic city of Trondheim, coastal landscapes, and strong cultural traditions.
-
B.
Indre
Indre is a river in central France that flows through the regions of Berry and Touraine before joining the Loire.
-
C.
Odelsting
The Odelsting was one of the two former chambers of the Norwegian Parliament, historically responsible for initiating and passing most legislation before Norway adopted a unicameral system.
-
D.
Gaustad
Gaustad is a district in Oslo, Norway, known for hosting major academic and research institutions, including parts of the University of Oslo campus.
-
E.
Tøyen
Tøyen is a neighborhood in Oslo, Norway, known for its cultural institutions, parks, and educational facilities.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b242a1d48190a0a7015d5fc82860 |
completed | March 1, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69a4b39f75048190a5f5f18756f75a81 |
completed | March 1, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4b42eb7d88190ab013625d75a093b |
completed | March 1, 2026, 9:48 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.