Triple

T16723235
Position Surface form Disambiguated ID Type / Status
Subject Airport–South Hylton line E406400 entity
Predicate via P5680 FINISHED
Object Pelaw
Pelaw is a suburban area in Gateshead, Tyne and Wear, England, served by the Tyne and Wear Metro network.
 E1231280 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: Pelaw | Statement: [Airport–South Hylton line, via, Pelaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pelaw
Context triple: [Airport–South Hylton line, via, Pelaw]
  • A. Pelariga
    Pelariga is a civil parish within the municipality of Pombal in central Portugal.
  • B. Petlad
    Petlad is a town in the Indian state of Gujarat, known for its agricultural markets and role as a local commercial center in the Anand region.
  • C. Petelia
    Petelia was an ancient city in southern Italy that served as the principal center of the Bruttian people.
  • D. Lepar
    Lepar is an island in Indonesia’s Bangka Belitung Islands province, known for its coastal landscapes and role in the region’s maritime and resource-based activities.
  • E. Pelletan
    Pelletan is a French surname associated with several notable figures in France’s political and intellectual history.
  • 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: Pelaw
Triple: [Airport–South Hylton line, via, Pelaw]
Generated description
Pelaw is a suburban area in Gateshead, Tyne and Wear, England, served by the Tyne and Wear Metro network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pelaw
Target entity description: Pelaw is a suburban area in Gateshead, Tyne and Wear, England, served by the Tyne and Wear Metro network.
  • A. Pelariga
    Pelariga is a civil parish within the municipality of Pombal in central Portugal.
  • B. Petlad
    Petlad is a town in the Indian state of Gujarat, known for its agricultural markets and role as a local commercial center in the Anand region.
  • C. Petelia
    Petelia was an ancient city in southern Italy that served as the principal center of the Bruttian people.
  • D. Lepar
    Lepar is an island in Indonesia’s Bangka Belitung Islands province, known for its coastal landscapes and role in the region’s maritime and resource-based activities.
  • E. Pelletan
    Pelletan is a French surname associated with several notable figures in France’s political and intellectual history.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e387449eb08190b174f8e142ea631b completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d43c49081908eca922da8f90793 completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a00a19d8dc08190be5d750f71b083dc completed May 10, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a00a269cacc81909d084c5d3497a4e6 completed May 10, 2026, 3:21 p.m.
Created at: April 10, 2026, 5:20 a.m.