Triple
T11052717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haaksbergen |
E261296
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Boekelo
Boekelo is a village in the Dutch province of Overijssel, known for its salt industry heritage and annual international military horse trials.
|
E901443
|
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: Boekelo | Statement: [Haaksbergen, locatedNear, Boekelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boekelo Context triple: [Haaksbergen, locatedNear, Boekelo]
-
A.
Lheebroek
Lheebroek is a small village in the Dutch province of Drenthe, situated within the municipality of Westerveld.
-
B.
Blokzijl
Blokzijl is a historic former trading town and harbor in the Dutch province of Overijssel, known for its picturesque canals and well-preserved old center.
-
C.
Boskoop
Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
-
D.
Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
E.
Zoersel
Zoersel is a municipality in the Belgian province of Antwerp, known for its green residential character and wooded surroundings.
- 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: Boekelo Triple: [Haaksbergen, locatedNear, Boekelo]
Generated description
Boekelo is a village in the Dutch province of Overijssel, known for its salt industry heritage and annual international military horse trials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boekelo Target entity description: Boekelo is a village in the Dutch province of Overijssel, known for its salt industry heritage and annual international military horse trials.
-
A.
Lheebroek
Lheebroek is a small village in the Dutch province of Drenthe, situated within the municipality of Westerveld.
-
B.
Blokzijl
Blokzijl is a historic former trading town and harbor in the Dutch province of Overijssel, known for its picturesque canals and well-preserved old center.
-
C.
Boskoop
Boskoop is a Dutch town historically renowned as a major center of tree and nursery cultivation.
-
D.
Zuunbeek
Zuunbeek is a small stream in Belgium that serves as a right-bank tributary of the River Dender.
-
E.
Zoersel
Zoersel is a municipality in the Belgian province of Antwerp, known for its green residential character and wooded surroundings.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7986c0df88190b29d71db5538450a |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa1c2d9c8190959e28ccef4e0f6d |
completed | April 18, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69e3ad0379888190b2f56d36d79bf97d |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b20f20bc8190a848c6fca8e2427f |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.