Triple
T5697806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utö |
E125581
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Utö Inn
Utö Inn is a guesthouse and lodging facility on the island of Utö in Finland’s outer archipelago, serving visitors with accommodation and related tourist services.
|
E539189
|
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: Utö Inn | Statement: [Utö, hasPart, Utö Inn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utö Inn Context triple: [Utö, hasPart, Utö Inn]
-
A.
Utsera resort
Utsera resort is a mountain spa and health resort in Georgia’s Racha region, known for its mineral springs and scenic alpine surroundings.
-
B.
Sickla Köpkvarter
Sickla Köpkvarter is a large shopping and entertainment district in the Sickla area of Nacka, just outside central Stockholm, Sweden.
-
C.
Seskarö
Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
-
D.
Kallhäll
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
-
E.
Ulva House
Ulva House is a notable historic residence located on the Scottish island of Ulva.
- 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: Utö Inn Triple: [Utö, hasPart, Utö Inn]
Generated description
Utö Inn is a guesthouse and lodging facility on the island of Utö in Finland’s outer archipelago, serving visitors with accommodation and related tourist services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Utö Inn Target entity description: Utö Inn is a guesthouse and lodging facility on the island of Utö in Finland’s outer archipelago, serving visitors with accommodation and related tourist services.
-
A.
Utsera resort
Utsera resort is a mountain spa and health resort in Georgia’s Racha region, known for its mineral springs and scenic alpine surroundings.
-
B.
Sickla Köpkvarter
Sickla Köpkvarter is a large shopping and entertainment district in the Sickla area of Nacka, just outside central Stockholm, Sweden.
-
C.
Seskarö
Seskarö is a Swedish island in the northern Baltic Sea known for its forests, beaches, and traditional fishing and forestry communities.
-
D.
Kallhäll
Kallhäll is a suburban district in the Stockholm metropolitan area of Sweden, known for its residential neighborhoods and commuter connections.
-
E.
Ulva House
Ulva House is a notable historic residence located on the Scottish island of Ulva.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240d6c0c8190bf970c7652fd9573 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5996a08190860cb5fab57c31b5 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05b7b57d481909f830a6cf7f59c3e |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c2046c48190a5d100f2dfad8d7b |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.