Triple
T35093052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Home Robertson |
E1012783
|
entity |
| Predicate | constituencyRepresented |
P192
|
FINISHED |
| Object |
Berwick and East Lothian
Berwick and East Lothian was a former UK parliamentary constituency in south-east Scotland, covering the coastal areas around Berwick-upon-Tweed and East Lothian.
|
E2125930
|
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: Berwick and East Lothian | Statement: [John Home Robertson, constituencyRepresented, Berwick and East Lothian]
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: Berwick and East Lothian Triple: [John Home Robertson, constituencyRepresented, Berwick and East Lothian]
Generated description
Berwick and East Lothian was a former UK parliamentary constituency in south-east Scotland, covering the coastal areas around Berwick-upon-Tweed and East Lothian.
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_69f76dd432ec8190969bc32acfc152b1 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78be22534819099484a30b41e7234 |
completed | May 3, 2026, 5:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37cfed93488190b58b8f50675227d0 |
completed | June 21, 2026, 11:50 a.m. |
| NEDg | Description generation | batch_6a37d07ba708819081b552b8a69313e5 |
completed | June 21, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37d1935d9881909cee3755fec2d996 |
completed | June 21, 2026, 11:57 a.m. |
Created at: May 3, 2026, 4:01 p.m.