Triple

T7432433
Position Surface form Disambiguated ID Type / Status
Subject York city walls E171524 entity
Predicate hasPart P35 FINISHED
Object Tower Fifty-two
Tower Fifty-two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
 E683931 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-two | Statement: [York city walls, hasPart, Tower Fifty-two]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tower Fifty-two
Context triple: [York city walls, hasPart, Tower Fifty-two]
  • A. Tower Fifty-one
    Tower Fifty-one is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • B. Tower Fifty
    Tower Fifty is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • C. Tower Forty-nine
    Tower Forty-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • D. Tower Forty-five
    Tower Forty-five is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • E. Tower Forty-eight
    Tower Forty-eight 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-two
Triple: [York city walls, hasPart, Tower Fifty-two]
Generated description
Tower Fifty-two 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-two
Target entity description: Tower Fifty-two is one of the defensive towers incorporated into the historic medieval city walls of York, England.
  • A. Tower Fifty-one
    Tower Fifty-one is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • B. Tower Fifty
    Tower Fifty is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • C. Tower Forty-nine
    Tower Forty-nine is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • D. Tower Forty-five
    Tower Forty-five is one of the numbered defensive towers incorporated into the historic medieval city walls of York, England.
  • E. Tower Forty-eight
    Tower Forty-eight 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_69c8b4e3181481909eec1a09ae295923 completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b61e0c308190b3231fab20bad278 completed March 29, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69c8b675ddb0819085d79dbba560d08f completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 3:12 p.m.