Triple
T3437770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tholen |
E72495
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Tholen (island)
Tholen is a Dutch island and former municipality in the province of Zeeland, known for its historic town, dike-lined polders, and traditional rural landscape.
|
E357666
|
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: Tholen (island) | Statement: [Tholen, locatedIn, Tholen (island)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tholen (island) Context triple: [Tholen, locatedIn, Tholen (island)]
-
A.
Stoltenhoff Island
Stoltenhoff Island is a small, uninhabited rocky islet in the South Atlantic Ocean that forms part of the remote Tristan da Cunha archipelago.
-
B.
Avşa Island
Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
-
C.
Ekerö Island
Ekerö Island is a Swedish island in Lake Mälaren, known for its scenic landscapes and proximity to Stockholm.
-
D.
Gressholmen
Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
-
E.
Monastyrsky Island
Monastyrsky Island is a historic river island in the city of Dnipro, Ukraine, known for its religious heritage and scenic recreational areas.
- 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: Tholen (island) Triple: [Tholen, locatedIn, Tholen (island)]
Generated description
Tholen is a Dutch island and former municipality in the province of Zeeland, known for its historic town, dike-lined polders, and traditional rural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tholen (island) Target entity description: Tholen is a Dutch island and former municipality in the province of Zeeland, known for its historic town, dike-lined polders, and traditional rural landscape.
-
A.
Stoltenhoff Island
Stoltenhoff Island is a small, uninhabited rocky islet in the South Atlantic Ocean that forms part of the remote Tristan da Cunha archipelago.
-
B.
Avşa Island
Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
-
C.
Ekerö Island
Ekerö Island is a Swedish island in Lake Mälaren, known for its scenic landscapes and proximity to Stockholm.
-
D.
Gressholmen
Gressholmen is a small recreational island near central Oslo, Norway, known for its beaches, nature reserve areas, and former seaplane airport.
-
E.
Monastyrsky Island
Monastyrsky Island is a historic river island in the city of Dnipro, Ukraine, known for its religious heritage and scenic recreational areas.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f575cc8190866929b1e8930143 |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35483d0488190b6a4bd2ed65f78d3 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b358b368648190840d1dee4a659a32 |
completed | March 13, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3593c810c819080f5370601750133 |
completed | March 13, 2026, 12:24 a.m. |
Created at: March 8, 2026, 3:16 p.m.