Triple
T5191687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heage |
E117169
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
BELPER
Belper is a historic market town in Derbyshire, England, known for its industrial heritage as part of the Derwent Valley Mills World Heritage Site.
|
E501786
|
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: BELPER | Statement: [Heage, hasPostTown, BELPER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BELPER Context triple: [Heage, hasPostTown, BELPER]
-
A.
Burrell
Burrell is the surname of former Major League Baseball outfielder and two-time World Series champion Pat Burrell.
-
B.
Biddulph
Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
-
C.
Bauple
Bauple is a small rural town in Queensland, Australia, known as the birthplace of the macadamia nut and situated within the Fraser Coast Region.
-
D.
Bevern
Bevern is a municipality in Lower Saxony, Germany, historically associated with the ducal House of Brunswick-Bevern.
-
E.
Bewdley
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
- 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: BELPER Triple: [Heage, hasPostTown, BELPER]
Generated description
Belper is a historic market town in Derbyshire, England, known for its industrial heritage as part of the Derwent Valley Mills World Heritage Site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BELPER Target entity description: Belper is a historic market town in Derbyshire, England, known for its industrial heritage as part of the Derwent Valley Mills World Heritage Site.
-
A.
Burrell
Burrell is the surname of former Major League Baseball outfielder and two-time World Series champion Pat Burrell.
-
B.
Biddulph
Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
-
C.
Bauple
Bauple is a small rural town in Queensland, Australia, known as the birthplace of the macadamia nut and situated within the Fraser Coast Region.
-
D.
Bevern
Bevern is a municipality in Lower Saxony, Germany, historically associated with the ducal House of Brunswick-Bevern.
-
E.
Bewdley
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79ed61c88190bda492f6489f44de |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee09146788190bfaac25a31e76ab5 |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee2f57b588190a7c7f1e932281911 |
completed | March 21, 2026, 6:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee372a2948190abd3ca95c3c2f01b |
completed | March 21, 2026, 6:29 p.m. |
Created at: March 20, 2026, 1:46 p.m.