Triple
T17053124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellendoorn |
E413750
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Egede
Egede is a small village in the Dutch province of Overijssel, located within the municipality of Hellendoorn.
|
E1248539
|
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: Egede | Statement: [Hellendoorn, containsSettlement, Egede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egede Context triple: [Hellendoorn, containsSettlement, Egede]
-
A.
Eggedal
Eggedal is a valley and rural area in Viken county, Norway, known for its traditional farming landscape, outdoor recreation, and cultural heritage.
-
B.
Edsbyn
Edsbyn is a small town in Gävleborg County, Sweden, known for its bandy team and role as a local industrial and service center.
-
C.
Oltedal
Oltedal is a small village in Rogaland county, Norway, known for its scenic surroundings and role as a local residential and industrial community within Gjesdal municipality.
-
D.
Eggum
Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
-
E.
Gröndal
Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
- 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: Egede Triple: [Hellendoorn, containsSettlement, Egede]
Generated description
Egede is a small village in the Dutch province of Overijssel, located within the municipality of Hellendoorn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Egede Target entity description: Egede is a small village in the Dutch province of Overijssel, located within the municipality of Hellendoorn.
-
A.
Eggedal
Eggedal is a valley and rural area in Viken county, Norway, known for its traditional farming landscape, outdoor recreation, and cultural heritage.
-
B.
Edsbyn
Edsbyn is a small town in Gävleborg County, Sweden, known for its bandy team and role as a local industrial and service center.
-
C.
Oltedal
Oltedal is a small village in Rogaland county, Norway, known for its scenic surroundings and role as a local residential and industrial community within Gjesdal municipality.
-
D.
Eggum
Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
-
E.
Gröndal
Gröndal is a residential district in southern Stockholm, Sweden, known for its waterfront location on Lake Mälaren and mix of early 20th-century and modern architecture.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa491008190ad013ee37532aa51 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012343eca0819086a07511c5d22878 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.