Triple

T882289
Position Surface form Disambiguated ID Type / Status
Subject River Tweed E19051 entity
Predicate nearbySettlement P350 FINISHED
Object Norham
Norham is a historic village in Northumberland, England, known for its medieval castle overlooking the River Tweed near the Scottish border.
E103628 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: Norham | Statement: [River Tweed, nearbySettlement, Norham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norham
Context triple: [River Tweed, nearbySettlement, Norham]
  • A. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • B. Okehampton
    Okehampton is a historic market town in Devon, England, known for its medieval castle and role as a former parliamentary borough.
  • C. Rothbury
    Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
  • D. Cassington
    Cassington is a small rural village in Oxfordshire, England, known for its historic church and traditional English countryside setting.
  • E. Upavon
    Upavon is a village on Salisbury Plain in Wiltshire, England, notable for its long military association and nearby army and air force facilities.
  • 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: Norham
Triple: [River Tweed, nearbySettlement, Norham]
Generated description
Norham is a historic village in Northumberland, England, known for its medieval castle overlooking the River Tweed near the Scottish border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norham
Target entity description: Norham is a historic village in Northumberland, England, known for its medieval castle overlooking the River Tweed near the Scottish border.
  • A. Hawkenbury
    Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
  • B. Okehampton
    Okehampton is a historic market town in Devon, England, known for its medieval castle and role as a former parliamentary borough.
  • C. Rothbury
    Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
  • D. Cassington
    Cassington is a small rural village in Oxfordshire, England, known for its historic church and traditional English countryside setting.
  • E. Upavon
    Upavon is a village on Salisbury Plain in Wiltshire, England, notable for its long military association and nearby army and air force facilities.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accc863c8190be9e5350732c30b1 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85883c481909261bde7fdebcde1 completed March 4, 2026, 4:43 a.m.
NEDg Description generation batch_69a7b95117e881908efe83c0f8b685fe completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7b9a6edd48190a1feff7e887f76ba completed March 4, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:39 p.m.