Triple
T31892536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVY |
E814183
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object |
Dovey Junction railway station platforms
Dovey Junction railway station platforms are the passenger boarding and alighting areas at the rural Dovey Junction station in Wales, serving trains on the Cambrian Line.
|
E1982932
|
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: Dovey Junction railway station platforms | Statement: [DVY, assignedTo, Dovey Junction railway station platforms]
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: Dovey Junction railway station platforms Triple: [DVY, assignedTo, Dovey Junction railway station platforms]
Generated description
Dovey Junction railway station platforms are the passenger boarding and alighting areas at the rural Dovey Junction station in Wales, serving trains on the Cambrian Line.
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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b160a7b48190b4bb236d20a22eef |
completed | May 3, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e7fea67308190836c472585529018 |
completed | June 14, 2026, 10:18 a.m. |
| NEDg | Description generation | batch_6a2e8147b47c81908330d72c3691c514 |
completed | June 14, 2026, 10:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2e820f7e888190b36e8bef42a391c7 |
completed | June 14, 2026, 10:27 a.m. |
Created at: April 30, 2026, 11:58 p.m.