Triple
T10698979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harare Province |
E252219
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Norton
Norton is a town in Zimbabwe located near the capital, Harare, known for its residential areas and light industry.
|
E384587
|
NE FINISHED |
How this triple was built (4 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: Norton | Statement: [Harare Province, contains, Norton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norton Context triple: [Harare Province, contains, Norton]
-
A.
Norton
Norton is a surname of English origin borne by numerous notable individuals across fields such as literature, politics, and the arts.
-
B.
Norton
Norton is a small town in Bristol County, southeastern Massachusetts, known for being home to Wheaton College and several scenic ponds and conservation areas.
-
C.
Norton
Norton is a dark-skinned American grape variety, historically significant in Midwestern and Eastern U.S. winemaking for producing deeply colored, full-bodied red wines with notable disease resistance.
-
D.
Norton
Norton is a historic British motorcycle manufacturer renowned for its success in mid-20th-century road racing and the Isle of Man TT.
-
E.
Norton
Norton is a town within the Teesside urban area in North East England, known for its historic high street and village green.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Norton Triple: [Harare Province, contains, Norton]
Generated description
Norton is a town in Zimbabwe located near the capital, Harare, known for its residential areas and light industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norton Target entity description: Norton is a town in Zimbabwe located near the capital, Harare, known for its residential areas and light industry.
-
A.
Norton
chosen
Norton is a town in Zimbabwe located near the Manyame River, known for its agricultural activities and proximity to the capital, Harare.
-
B.
Norton
Norton is a town within the Teesside urban area in North East England, known for its historic high street and village green.
-
C.
Norton
Norton is a village in Gloucestershire, England, situated near the River Chelt and close to the town of Cheltenham.
-
D.
Norton
Norton is a residential suburb within the town of Runcorn in Cheshire, England.
-
E.
Norton
Norton is a small town in Bristol County, southeastern Massachusetts, known for being home to Wheaton College and several scenic ponds and conservation areas.
- F. None of above.
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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8abd7c81909c274aa1699a3695 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998ed78e481908537ae10d55e6f65 |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8534688190b312b737e0b9cd53 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadcb861a08190bb9f64a91117f35d |
completed | April 11, 2026, 11:43 p.m. |
Created at: April 8, 2026, 9:12 p.m.