Triple

T9831357
Position Surface form Disambiguated ID Type / Status
Subject Banks E238990 entity
Predicate locatedNear P294 FINISHED
Object Mere Brow
Mere Brow is a small rural village in Lancashire, England, known for its agricultural surroundings and proximity to the town of Banks.
 E824474 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: Mere Brow | Statement: [Banks, locatedNear, Mere Brow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mere Brow
Context triple: [Banks, locatedNear, Mere Brow]
  • A. Mere
    Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
  • B. Makeda
    "Makeda" is a popular neo-soul/R&B song by the French duo Les Nubians, known for its smooth harmonies and Afrocentric themes.
  • C. Amba
    Amba is a Hindu goddess, widely revered in western India as a fierce yet protective mother deity often worshipped during Navratri.
  • D. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • E. Nangere
    Nangere is a local government area in Yobe State, northeastern Nigeria, known for its predominantly rural communities and agrarian economy.
  • 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: Mere Brow
Triple: [Banks, locatedNear, Mere Brow]
Generated description
Mere Brow is a small rural village in Lancashire, England, known for its agricultural surroundings and proximity to the town of Banks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mere Brow
Target entity description: Mere Brow is a small rural village in Lancashire, England, known for its agricultural surroundings and proximity to the town of Banks.
  • A. Mere
    Mere is a village and civil parish in Cheshire, England, known for its affluent residential character and proximity to the town of Knutsford.
  • B. Makeda
    "Makeda" is a popular neo-soul/R&B song by the French duo Les Nubians, known for its smooth harmonies and Afrocentric themes.
  • C. Amba
    Amba is a Hindu goddess, widely revered in western India as a fierce yet protective mother deity often worshipped during Navratri.
  • D. Ménaka
    Ménaka is a town in eastern Mali that serves as an important administrative and trading center in the Sahel region.
  • E. Nangere
    Nangere is a local government area in Yobe State, northeastern Nigeria, known for its predominantly rural communities and agrarian economy.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3297bd88190bf8c53a4ba00e0ae completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5c066a08190baabf3141c10d9f3 completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d749c0c481909b3917d4c028c2df completed April 5, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69d1d7b1e4808190b9259e3e772cd274 completed April 5, 2026, 3:32 a.m.
Created at: March 30, 2026, 8:32 p.m.