Triple
T38161092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minories railway station |
E953019
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Brunswick Wharf (Blackwall terminus)
Brunswick Wharf (Blackwall terminus) was the original London terminus of the London and Blackwall Railway, serving as a key early 19th-century railway and dockside interchange on the River Thames at Blackwall.
|
E2257265
|
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: Brunswick Wharf (Blackwall terminus) | Statement: [Minories railway station, precededBy, Brunswick Wharf (Blackwall terminus)]
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: Brunswick Wharf (Blackwall terminus) Triple: [Minories railway station, precededBy, Brunswick Wharf (Blackwall terminus)]
Generated description
Brunswick Wharf (Blackwall terminus) was the original London terminus of the London and Blackwall Railway, serving as a key early 19th-century railway and dockside interchange on the River Thames at Blackwall.
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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc46591d3481908d24ff9e5ed6e61f |
completed | May 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41713b51dc819094d271009baf1767 |
completed | June 28, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_6a4172852cac8190bb4ad66a53a11bf7 |
completed | June 28, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4172f2b3688190869bda97f27723ba |
completed | June 28, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:21 p.m.