Triple
T14311416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enschede |
E354840
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Eanske
Eanske is the local dialect name for the Dutch city of Enschede, commonly used in the regional Twents language.
|
E1091388
|
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: Eanske | Statement: [Enschede, hasNickname, Eanske]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eanske Context triple: [Enschede, hasNickname, Eanske]
-
A.
Andselv
Andselv is a small Norwegian village located in the Troms region, known for its position along the Andselva river and proximity to Bardufoss.
-
B.
Ankeveen
Ankeveen is a village in North Holland, Netherlands, known for its lakes, peat meadows, and scenic natural surroundings.
-
C.
Andis
The Andis are a small Northeast Caucasian ethnic group native to the mountainous regions of Dagestan in Russia, known for their distinct Andic language and traditional highland culture.
-
D.
Arnesson
Arnesson is a Scandinavian patronymic surname indicating descent from a father named Arne or a similar given name.
-
E.
Annesa
Annesa is the central female protagonist of the 1916 Italian silent film "Cenere," portrayed by the renowned actress Eleonora Duse.
- 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: Eanske Triple: [Enschede, hasNickname, Eanske]
Generated description
Eanske is the local dialect name for the Dutch city of Enschede, commonly used in the regional Twents language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eanske Target entity description: Eanske is the local dialect name for the Dutch city of Enschede, commonly used in the regional Twents language.
-
A.
Andselv
Andselv is a small Norwegian village located in the Troms region, known for its position along the Andselva river and proximity to Bardufoss.
-
B.
Ankeveen
Ankeveen is a village in North Holland, Netherlands, known for its lakes, peat meadows, and scenic natural surroundings.
-
C.
Andis
The Andis are a small Northeast Caucasian ethnic group native to the mountainous regions of Dagestan in Russia, known for their distinct Andic language and traditional highland culture.
-
D.
Arnesson
Arnesson is a Scandinavian patronymic surname indicating descent from a father named Arne or a similar given name.
-
E.
Annesa
Annesa is the central female protagonist of the 1916 Italian silent film "Cenere," portrayed by the renowned actress Eleonora Duse.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b386d0819087d14f3ce84a1997 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d3124488190b2ea35949294e297 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3ded77748190b35908e046ccce67 |
completed | May 8, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3e7425348190abf09c103cc17305 |
completed | May 8, 2026, 1:37 a.m. |
Created at: April 10, 2026, 1:12 a.m.