Triple
T34163887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SimpsonHaugh Architects |
E876354
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
St Michael’s (early design stages), Manchester
St Michael’s (early design stages), Manchester is a proposed mixed-use redevelopment scheme in central Manchester designed by SimpsonHaugh Architects, featuring prominent high-rise buildings intended to transform the city’s skyline.
|
E2083674
|
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: St Michael’s (early design stages), Manchester | Statement: [SimpsonHaugh Architects, notableWork, St Michael’s (early design stages), Manchester]
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: St Michael’s (early design stages), Manchester Triple: [SimpsonHaugh Architects, notableWork, St Michael’s (early design stages), Manchester]
Generated description
St Michael’s (early design stages), Manchester is a proposed mixed-use redevelopment scheme in central Manchester designed by SimpsonHaugh Architects, featuring prominent high-rise buildings intended to transform the city’s skyline.
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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fbcba308190a23b21e32555d759 |
completed | May 3, 2026, 9:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36c1d55d30819081eb7818f62bd224 |
completed | June 20, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a36c328ba788190ac5f7e0d59cedcff |
completed | June 20, 2026, 4:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36c3da25608190b47fdf74705560bc |
completed | June 20, 2026, 4:46 p.m. |
Created at: May 1, 2026, 1:54 a.m.