Triple
T22414209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oijen |
E554071
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Oyen
Oyen is an alternative name for Oijen, a village in the province of North Brabant in the Netherlands.
|
E1536185
|
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: Oyen | Statement: [Oijen, hasAlternativeName, Oyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oyen Context triple: [Oijen, hasAlternativeName, Oyen]
-
A.
Ayubia
Ayubia is a popular hill resort and national park area in Pakistan’s Galyat region, known for its cool climate, pine forests, and scenic chairlift.
-
B.
Okyar
Okyar is a Turkish surname most notably associated with Fethi Okyar, an important early 20th-century Turkish statesman and diplomat.
-
C.
Oybin
Oybin is a picturesque village and spa resort in eastern Saxony, Germany, known for its distinctive sandstone mountain crowned by the ruins of a medieval castle and monastery.
-
D.
Oron
Oron is a coastal ethnic group of southeastern Nigeria, known for its fishing traditions, distinct language, and cultural ties to neighboring Ibibio and Annang peoples.
-
E.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
- 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: Oyen Triple: [Oijen, hasAlternativeName, Oyen]
Generated description
Oyen is an alternative name for Oijen, a village in the province of North Brabant in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oyen Target entity description: Oyen is an alternative name for Oijen, a village in the province of North Brabant in the Netherlands.
-
A.
Ayubia
Ayubia is a popular hill resort and national park area in Pakistan’s Galyat region, known for its cool climate, pine forests, and scenic chairlift.
-
B.
Okyar
Okyar is a Turkish surname most notably associated with Fethi Okyar, an important early 20th-century Turkish statesman and diplomat.
-
C.
Oybin
Oybin is a picturesque village and spa resort in eastern Saxony, Germany, known for its distinctive sandstone mountain crowned by the ruins of a medieval castle and monastery.
-
D.
Oron
Oron is a coastal ethnic group of southeastern Nigeria, known for its fishing traditions, distinct language, and cultural ties to neighboring Ibibio and Annang peoples.
-
E.
Moura
Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15945486081908eb3a7b0441c0ef1 |
completed | April 29, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0e99ca48190ad93201035c819d6 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af2c6151881908f85a7c3c751cea9 |
completed | May 18, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:46 p.m.