Triple
T35383137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bristol Reform Riots of 1831 |
E1022709
|
entity |
| Predicate | mainVenue |
P373
|
FINISHED |
| Object |
Bristol Bishop’s Palace
Bristol Bishop’s Palace is a historic episcopal residence in Bristol, England, notable for its role as a focal point of unrest during the 1831 Bristol Reform Riots.
|
E2137933
|
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: Bristol Bishop’s Palace | Statement: [Bristol Reform Riots of 1831, mainVenue, Bristol Bishop’s Palace]
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: Bristol Bishop’s Palace Triple: [Bristol Reform Riots of 1831, mainVenue, Bristol Bishop’s Palace]
Generated description
Bristol Bishop’s Palace is a historic episcopal residence in Bristol, England, notable for its role as a focal point of unrest during the 1831 Bristol Reform Riots.
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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a382cbe7c288190a743b72135f13876 |
completed | June 21, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_6a382d377cc0819096c1f6470189d4dd |
completed | June 21, 2026, 6:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a382da4155c8190a9a9a746cd92aec3 |
completed | June 21, 2026, 6:29 p.m. |
Created at: May 3, 2026, 4:03 p.m.