Triple
T28742355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electricity (Supply) Act 1919 |
E731277
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Electric Lighting Acts
The Electric Lighting Acts were a series of late 19th- and early 20th-century UK laws that established the legal framework for developing, regulating, and operating public electricity supply and lighting undertakings.
|
E1832007
|
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: Electric Lighting Acts | Statement: [Electricity (Supply) Act 1919, precededBy, Electric Lighting Acts]
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: Electric Lighting Acts Triple: [Electricity (Supply) Act 1919, precededBy, Electric Lighting Acts]
Generated description
The Electric Lighting Acts were a series of late 19th- and early 20th-century UK laws that established the legal framework for developing, regulating, and operating public electricity supply and lighting undertakings.
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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f657b453548190ab10f8cfa45974dd |
completed | May 2, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1ccf6b2b7481909f26c6222ecb1c20 |
completed | June 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_6a249437ba308190b0e40496c8e38562 |
completed | June 6, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2498ce9614819086c21dc9dc0b45ea |
completed | June 6, 2026, 10:01 p.m. |
Created at: April 28, 2026, 6:03 a.m.