Triple

T5084200
Position Surface form Disambiguated ID Type / Status
Subject North East Derbyshire E114595 entity
Predicate containsSettlement P847 FINISHED
Object Tibshelf
Tibshelf is a former coal-mining village and civil parish in Derbyshire, England, known as one of the early sites of deep coal mining in the country.
 E492073 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: Tibshelf | Statement: [North East Derbyshire, containsSettlement, Tibshelf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tibshelf
Context triple: [North East Derbyshire, containsSettlement, Tibshelf]
  • A. Tibb
    Tibb is a medieval English given name, often a diminutive of names like Theobald or Tibalt, that later appeared as a root for surnames such as Tibbets.
  • B. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • C. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • D. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • E. Tiendesitas
    Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
  • 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: Tibshelf
Triple: [North East Derbyshire, containsSettlement, Tibshelf]
Generated description
Tibshelf is a former coal-mining village and civil parish in Derbyshire, England, known as one of the early sites of deep coal mining in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tibshelf
Target entity description: Tibshelf is a former coal-mining village and civil parish in Derbyshire, England, known as one of the early sites of deep coal mining in the country.
  • A. Tibb
    Tibb is a medieval English given name, often a diminutive of names like Theobald or Tibalt, that later appeared as a root for surnames such as Tibbets.
  • B. Shambuko
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • C. The Turim
    The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
  • D. Tektitek
    Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
  • E. Tiendesitas
    Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75192d188190a7631bce5faf7de3 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb13a8be08190a0f1fc3aec224dde completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb22ca4148190b599b48c05e5e3da completed March 21, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69beb2c80a6881908ad29936da1240d2 completed March 21, 2026, 3:01 p.m.
Created at: March 20, 2026, 1:40 p.m.