Triple
T7591564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Funen Archipelago |
E179746
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Thurø
Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
|
E691179
|
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: Thurø | Statement: [South Funen Archipelago, containsIsland, Thurø]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thurø Context triple: [South Funen Archipelago, containsIsland, Thurø]
-
A.
Hornbæk
Hornbæk is a coastal town in northern Zealand, Denmark, known for its sandy beaches, holiday villas, and role as a popular seaside resort.
-
B.
Ennore
Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
-
C.
Rødovre
Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
-
D.
Nykøbing Falster
Nykøbing Falster is a historic market town on the Danish island of Falster, known for its medieval heritage and role as a regional commercial and cultural center.
-
E.
Thisted
Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
- 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: Thurø Triple: [South Funen Archipelago, containsIsland, Thurø]
Generated description
Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thurø Target entity description: Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
-
A.
Hornbæk
Hornbæk is a coastal town in northern Zealand, Denmark, known for its sandy beaches, holiday villas, and role as a popular seaside resort.
-
B.
Ennore
Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
-
C.
Rødovre
Rødovre is a suburban municipality in the Capital Region of Denmark, located just west of central Copenhagen.
-
D.
Nykøbing Falster
Nykøbing Falster is a historic market town on the Danish island of Falster, known for its medieval heritage and role as a regional commercial and cultural center.
-
E.
Thisted
Thisted is a coastal town and municipality in northwestern Jutland, Denmark, known for its scenic location by the Limfjord and its role as a regional commercial and cultural center.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b746ac8190b255afdfb9635f72 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c96c14aa588190a660de4e356a6b07 |
completed | March 29, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69c96dbff6fc8190b54388ab0a0aaaac |
completed | March 29, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c96e0b39c88190a2af5cc948988c0d |
completed | March 29, 2026, 6:23 p.m. |
Created at: March 27, 2026, 3:53 p.m.