Triple

T10087863
Position Surface form Disambiguated ID Type / Status
Subject Tring E215265 entity
Predicate postTown P2711 FINISHED
Object TRING
TRING is a small market town in Hertfordshire, England, known for its historic high street and proximity to the Chiltern Hills.
E841086 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: TRING | Statement: [Tring, postTown, TRING]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TRING
Context triple: [Tring, postTown, TRING]
  • A. Trou-ringh
    Trou-ringh is a didactic emblem book by Dutch poet and moralist Jacob Cats that offers moral lessons through allegorical illustrations and verse.
  • B. TriG
    TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
  • C. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • D. TRZ
    TRZ is the IATA airport code for Tiruchirappalli International Airport, a major air gateway serving the city of Tiruchirappalli in the Indian state of Tamil Nadu.
  • E. TRZ
    TRZ is the stock ticker symbol for Trizec Properties, a former publicly traded real estate investment trust focused on commercial office properties.
  • 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: TRING
Triple: [Tring, postTown, TRING]
Generated description
TRING is a small market town in Hertfordshire, England, known for its historic high street and proximity to the Chiltern Hills.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TRING
Target entity description: TRING is a small market town in Hertfordshire, England, known for its historic high street and proximity to the Chiltern Hills.
  • A. Trou-ringh
    Trou-ringh is a didactic emblem book by Dutch poet and moralist Jacob Cats that offers moral lessons through allegorical illustrations and verse.
  • B. TriG
    TriG is a serialization format for RDF that extends Turtle to support the representation of named graphs and datasets.
  • C. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • D. TRZ
    TRZ is the IATA airport code for Tiruchirappalli International Airport, a major air gateway serving the city of Tiruchirappalli in the Indian state of Tamil Nadu.
  • E. TRZ
    TRZ is the stock ticker symbol for Trizec Properties, a former publicly traded real estate investment trust focused on commercial office properties.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04875748190a81d1e9ad68dda96 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b693afac819090635d2eb147bdcb completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b7aecdb081909f651c1bc1bcfd75 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b86bf8948190a79046efadc4adea completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9:01 p.m.