Triple
T15665611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heerenveen |
E377176
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Heerenvener
Heerenvener is the term for a resident or native of the Dutch town of Heerenveen in the province of Friesland.
|
E1171197
|
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: Heerenvener | Statement: [Heerenveen, hasDemonym, Heerenvener]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heerenvener Context triple: [Heerenveen, hasDemonym, Heerenvener]
-
A.
Sauwerd
Sauwerd is a small village in the Dutch province of Groningen, known for its rural character and location along the railway between Groningen and Roodeschool.
-
B.
Spiekeroog
Spiekeroog is a car-free German North Sea island known for its tranquil beaches, dunes, and traditional Frisian village atmosphere.
-
C.
Sneekermeer
Sneekermeer is a popular lake in the Dutch province of Friesland, known for boating, sailing, and water sports near the city of Sneek.
-
D.
Schiermonnikoog
Schiermonnikoog is a small Dutch Wadden Sea island known for its protected natural landscapes, extensive beaches, and status as a largely car-free national park destination.
-
E.
Hoeksche Waard island
Hoeksche Waard island is a largely rural island and region in South Holland, Netherlands, known for its agricultural landscape and small towns.
- 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: Heerenvener Triple: [Heerenveen, hasDemonym, Heerenvener]
Generated description
Heerenvener is the term for a resident or native of the Dutch town of Heerenveen in the province of Friesland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heerenvener Target entity description: Heerenvener is the term for a resident or native of the Dutch town of Heerenveen in the province of Friesland.
-
A.
Sauwerd
Sauwerd is a small village in the Dutch province of Groningen, known for its rural character and location along the railway between Groningen and Roodeschool.
-
B.
Spiekeroog
Spiekeroog is a car-free German North Sea island known for its tranquil beaches, dunes, and traditional Frisian village atmosphere.
-
C.
Sneekermeer
Sneekermeer is a popular lake in the Dutch province of Friesland, known for boating, sailing, and water sports near the city of Sneek.
-
D.
Schiermonnikoog
Schiermonnikoog is a small Dutch Wadden Sea island known for its protected natural landscapes, extensive beaches, and status as a largely car-free national park destination.
-
E.
Hoeksche Waard island
Hoeksche Waard island is a largely rural island and region in South Holland, Netherlands, known for its agricultural landscape and small towns.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed8d9188190a68035d2508b117d |
completed | May 9, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69ff6f691b1c8190a5b6ede22f90a1d9 |
completed | May 9, 2026, 5:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff700c8c748190a24996936d591435 |
completed | May 9, 2026, 5:34 p.m. |
Created at: April 10, 2026, 4:16 a.m.