Triple
T22413910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maasdriel |
E554062
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Hurwenen
Hurwenen is a small village in the Dutch municipality of Maasdriel in the province of Gelderland, the Netherlands.
|
E1536169
|
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: Hurwenen | Statement: [Maasdriel, hasVillage, Hurwenen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurwenen Context triple: [Maasdriel, hasVillage, Hurwenen]
-
A.
Blitzen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
B.
Blitzen
Blitzen is a fictional character appearing in the Dakotaverse, the shared superhero universe originally published by Milestone Media.
-
C.
Hossa
Hossa is a Slovak surname most notably associated with professional ice hockey players, including NHL star Marián Hossa and his brother Marcel Hossa.
-
D.
Hellerud
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
-
E.
Humenne
Humenné is a town in eastern Slovakia known for its historic manor house, surrounding Carpathian landscape, and role as a regional cultural and economic center.
- 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: Hurwenen Triple: [Maasdriel, hasVillage, Hurwenen]
Generated description
Hurwenen is a small village in the Dutch municipality of Maasdriel in the province of Gelderland, the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hurwenen Target entity description: Hurwenen is a small village in the Dutch municipality of Maasdriel in the province of Gelderland, the Netherlands.
-
A.
Blitzen
Blitzen is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
-
B.
Blitzen
Blitzen is a fictional character appearing in the Dakotaverse, the shared superhero universe originally published by Milestone Media.
-
C.
Hossa
Hossa is a Slovak surname most notably associated with professional ice hockey players, including NHL star Marián Hossa and his brother Marcel Hossa.
-
D.
Hellerud
Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
-
E.
Humenne
Humenné is a town in eastern Slovakia known for its historic manor house, surrounding Carpathian landscape, and role as a regional cultural and economic center.
- 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.