Triple
T7888160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Taikon |
E183155
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Ytterhogdal
Ytterhogdal is a small locality in Härjedalen, central Sweden, known for its rural setting and traditional Swedish countryside character.
|
E701282
|
NE FINISHED |
Named-entity recognition
Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.
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: Ytterhogdal | Statement: [Rosa Taikon, placeOfDeath, Ytterhogdal]
Disambiguation candidates (2 decisions)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ytterhogdal Context triple: [Rosa Taikon, placeOfDeath, Ytterhogdal]
-
A.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
-
B.
Byrkjedal
Byrkjedal is a small rural village in southwestern Norway, known for its scenic valley setting and traditional Norwegian countryside character.
-
C.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
D.
Nydalen
Nydalen is a modern riverside neighborhood in Oslo, Norway, known for its business district, educational institutions, and redeveloped industrial areas.
-
E.
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ytterhogdal Target entity description: Ytterhogdal is a small locality in Härjedalen, central Sweden, known for its rural setting and traditional Swedish countryside character.
-
A.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
-
B.
Byrkjedal
Byrkjedal is a small rural village in southwestern Norway, known for its scenic valley setting and traditional Norwegian countryside character.
-
C.
Lysthaugen
Lysthaugen is a small settlement located in the municipality of Verdal in Trøndelag county, Norway.
-
D.
Nydalen
Nydalen is a modern riverside neighborhood in Oslo, Norway, known for its business district, educational institutions, and redeveloped industrial areas.
-
E.
Flemingsberg
Flemingsberg is a district in the southern Stockholm urban area known for its major university campus, hospital, and commuter rail hub.
- F. None of above. chosen
How the object was described
The object's one-sentence description was generated by prompting gpt-5.1 with the object name and this triple as context.
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: Ytterhogdal Triple: [Rosa Taikon, placeOfDeath, Ytterhogdal]
Generated description
Ytterhogdal is a small locality in Härjedalen, central Sweden, known for its rural setting and traditional Swedish countryside character.
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ca828af6e48190a06ee7010d8f0e64 |
elicitation | completed |
| NER | batch_69cb39ea8d1c81908ef99569e0cf00b7 |
ner | completed |
| NED1 | batch_69cb5b98f9b88190b25b5c23a9ae9ced |
ned_source_triple | completed |
| NED2 | batch_69cbbf847f3c819092d690d8d65f6d60 |
ned_description | completed |
| NEDg | batch_69cb7631d10881908e3c7dacb98520cd |
nedg | completed |
Created at: March 30, 2026, 4:59 p.m.