Triple
T25543067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marks Tey–Sudbury branch |
E640221
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Chappel & Wakes Colne railway station
Chappel & Wakes Colne railway station is a rural railway stop in Essex, England, notable for serving the villages of Chappel and Wakes Colne and for its historic viaduct and preserved railway heritage.
|
E1684528
|
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: Chappel & Wakes Colne railway station | Statement: [Marks Tey–Sudbury branch, hasStation, Chappel & Wakes Colne railway station]
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: Chappel & Wakes Colne railway station Triple: [Marks Tey–Sudbury branch, hasStation, Chappel & Wakes Colne railway station]
Generated description
Chappel & Wakes Colne railway station is a rural railway stop in Essex, England, notable for serving the villages of Chappel and Wakes Colne and for its historic viaduct and preserved railway heritage.
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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f895e458819081cf031b70d20e56 |
completed | May 2, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ad95d2308190ab4b87eee0fff28b |
completed | May 22, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_6a10ae7f5fb48190b627884ee0dd3533 |
completed | May 22, 2026, 7:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10af25783081908b2c79210eb97fc1 |
completed | May 22, 2026, 7:31 p.m. |
Created at: April 21, 2026, 3:27 p.m.