Triple
T27200028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenham |
E683709
|
entity |
| Predicate | hasReligiousBuilding |
P1191
|
FINISHED |
| Object |
St James and St Basil Church
St James and St Basil Church is an Anglican church in the Fenham area of Newcastle upon Tyne, noted for its distinctive 20th-century architecture and community role.
|
E1767978
|
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 James and St Basil Church | Statement: [Fenham, hasReligiousBuilding, St James and St Basil Church]
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 James and St Basil Church Triple: [Fenham, hasReligiousBuilding, St James and St Basil Church]
Generated description
St James and St Basil Church is an Anglican church in the Fenham area of Newcastle upon Tyne, noted for its distinctive 20th-century architecture and community role.
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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625dffb248190ba1b264ad046f9b9 |
completed | May 2, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a129c9606d48190b91d06df67c20c26 |
completed | May 24, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_6a129f5cfce08190aea3ad3cf89f02f8 |
completed | May 24, 2026, 6:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12a04575d48190b7bafa51497b0003 |
completed | May 24, 2026, 6:52 a.m. |
Created at: April 27, 2026, 9:35 a.m.