Triple
T37830420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amersfoort Schothorst railway station |
E943184
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Amersfoort Schothorst district
Amersfoort Schothorst district is a residential and commercial neighborhood in the Dutch city of Amersfoort, known for its suburban character and good rail connections.
|
E924000
|
NE FINISHED |
How this triple was built (2 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: Amersfoort Schothorst district | Statement: [Amersfoort Schothorst railway station, locatedIn, Amersfoort Schothorst district]
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: Amersfoort Schothorst district Triple: [Amersfoort Schothorst railway station, locatedIn, Amersfoort Schothorst district]
Generated description
Amersfoort Schothorst district is a residential and commercial neighborhood in the Dutch city of Amersfoort, known for its suburban character and good rail connections.
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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb1eebae481908df42194531ef61d |
completed | May 6, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a412c9b62bc8190a53d5b2b28efdf2b |
completed | June 28, 2026, 2:15 p.m. |
| NEDg | Description generation | batch_6a4130417a748190859024e8faf08376 |
completed | June 28, 2026, 2:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4130a4b2788190a79538f317e3442e |
completed | June 28, 2026, 2:33 p.m. |
Created at: May 3, 2026, 4:19 p.m.