Triple

T7432435
Position Surface form Disambiguated ID Type / Status
Subject York city walls E171524 entity
Predicate hasPart P35 FINISHED
Object Tower Fifty-four
Tower Fifty-four is one of the defensive towers incorporated into the historic medieval city walls of York, England.
 E686826 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: Tower Fifty-four | Statement: [York city walls, hasPart, Tower Fifty-four]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tower Fifty-four
Context triple: [York city walls, hasPart, Tower Fifty-four]
  • A. Tower Fifty-three
    Tower Fifty-three is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • B. Tower Fifty-two
    Tower Fifty-two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
  • C. Tower Fifty-one
    Tower Fifty-one is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • D. Tower Forty-nine
    Tower Forty-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • E. Tower Fifty
    Tower Fifty is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • 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: Tower Fifty-four
Triple: [York city walls, hasPart, Tower Fifty-four]
Generated description
Tower Fifty-four is one of the defensive towers incorporated into the historic medieval city walls of York, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tower Fifty-four
Target entity description: Tower Fifty-four is one of the defensive towers incorporated into the historic medieval city walls of York, England.
  • A. Tower Fifty-three
    Tower Fifty-three is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • B. Tower Fifty-two
    Tower Fifty-two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
  • C. Tower Fifty-one
    Tower Fifty-one is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • D. Tower Forty-nine
    Tower Forty-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • E. Tower Fifty
    Tower Fifty is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f325ea908190b668fd4ce646f1e6 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7adaf3c819095214864b91316f6 completed March 29, 2026, 6:33 a.m.
NEDg Description generation batch_69c8c8e3da1c81909088b3769e2dd8d9 completed March 29, 2026, 6:38 a.m.
NED2 Entity disambiguation (via description) batch_69c8c95056f08190885f3a2ebaa8a1db completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 3:12 p.m.