Triple
T2464544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowestoft |
E55213
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object |
Royal Plain
Royal Plain is a public open space and leisure area in Lowestoft, England, known for its seafront location and recreational amenities.
|
E270304
|
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: Royal Plain | Statement: [Lowestoft, hasFeature, Royal Plain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Plain Context triple: [Lowestoft, hasFeature, Royal Plain]
-
A.
Palacefields
Palacefields is a residential suburb of the town of Runcorn in Cheshire, England.
-
B.
Parade Ground
Parade Ground is a public open space traditionally used for military drills, ceremonies, and large gatherings.
-
C.
Sabatinis Gardens
Sabatini Gardens is a formal neoclassical-style garden in Madrid, Spain, located beside the Royal Palace and known for its symmetrical hedges, fountains, and palace views.
-
D.
Front Royal
Front Royal is a small town in Warren County, Virginia, known as a gateway to Shenandoah National Park and the northern terminus of Skyline Drive.
-
E.
Gracemont
Gracemont is a low-power, high-efficiency CPU microarchitecture developed by Intel for its Atom-class and hybrid processors.
- 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: Royal Plain Triple: [Lowestoft, hasFeature, Royal Plain]
Generated description
Royal Plain is a public open space and leisure area in Lowestoft, England, known for its seafront location and recreational amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Royal Plain Target entity description: Royal Plain is a public open space and leisure area in Lowestoft, England, known for its seafront location and recreational amenities.
-
A.
Palacefields
Palacefields is a residential suburb of the town of Runcorn in Cheshire, England.
-
B.
Parade Ground
Parade Ground is a public open space traditionally used for military drills, ceremonies, and large gatherings.
-
C.
Sabatinis Gardens
Sabatini Gardens is a formal neoclassical-style garden in Madrid, Spain, located beside the Royal Palace and known for its symmetrical hedges, fountains, and palace views.
-
D.
Front Royal
Front Royal is a small town in Warren County, Virginia, known as a gateway to Shenandoah National Park and the northern terminus of Skyline Drive.
-
E.
Gracemont
Gracemont is a low-power, high-efficiency CPU microarchitecture developed by Intel for its Atom-class and hybrid processors.
- F. None of above. chosen
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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1216f44819094c46ae7c2c1e394 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1799b530819095d828c9d4a9dc9c |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af1a13336081908c134023db0cc63e |
completed | March 9, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af1a7762908190a0efd063e1e72bda |
completed | March 9, 2026, 7:07 p.m. |
Created at: March 6, 2026, 9:44 p.m.