Triple

T3517380
Position Surface form Disambiguated ID Type / Status
Subject Fort Mills E74339 entity
Predicate hasPart P35 FINISHED
Object Middleside
Middleside is a district or area within Fort Mills, historically associated with the British military presence on Hong Kong’s Stonecutters Island.
E365114 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: Middleside | Statement: [Fort Mills, hasPart, Middleside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Middleside
Context triple: [Fort Mills, hasPart, Middleside]
  • A. Midgham
    Midgham is a small village and civil parish in West Berkshire, England, situated near the town of Thatcham.
  • B. Midgley
    Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
  • C. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • D. Malhamdale
    Malhamdale is a picturesque valley in North Yorkshire, England, renowned for its dramatic limestone scenery, including Malham Cove, Gordale Scar, and Malham Tarn.
  • E. Middelaar
    Middelaar is a village in the Dutch province of Limburg, situated near the river Maas and close to the border with Germany.
  • 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: Middleside
Triple: [Fort Mills, hasPart, Middleside]
Generated description
Middleside is a district or area within Fort Mills, historically associated with the British military presence on Hong Kong’s Stonecutters Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Middleside
Target entity description: Middleside is a district or area within Fort Mills, historically associated with the British military presence on Hong Kong’s Stonecutters Island.
  • A. Midgham
    Midgham is a small village and civil parish in West Berkshire, England, situated near the town of Thatcham.
  • B. Midgley
    Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
  • C. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • D. Malhamdale
    Malhamdale is a picturesque valley in North Yorkshire, England, renowned for its dramatic limestone scenery, including Malham Cove, Gordale Scar, and Malham Tarn.
  • E. Middelaar
    Middelaar is a village in the Dutch province of Limburg, situated near the river Maas and close to the border with Germany.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc32f90081908960acb3e94402be completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7da9c08190ab417b45339513bd completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f61b4a88190b36ada98f063edcf completed March 13, 2026, 3:07 a.m.
NED2 Entity disambiguation (via description) batch_69b37fbec2ec81909228716c70ffa2bd completed March 13, 2026, 3:08 a.m.
Created at: March 8, 2026, 3:19 p.m.