Triple

T3761595
Position Surface form Disambiguated ID Type / Status
Subject Ludlow E82172 entity
Predicate hasPostcodeArea P920 FINISHED
Object SY
SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
E386598 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: SY | Statement: [Ludlow, hasPostcodeArea, SY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SY
Context triple: [Ludlow, hasPostcodeArea, SY]
  • A. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • B. SYR
    SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
  • C. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • D. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • E. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • 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: SY
Triple: [Ludlow, hasPostcodeArea, SY]
Generated description
SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SY
Target entity description: SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
  • A. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • B. SYR
    SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
  • C. CY
    CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
  • D. YN
    YN is the standard abbreviation for Yunnan Province, a mountainous and ethnically diverse region in southwestern China.
  • E. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc553a08190ba361675901496ed completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e51acd0c81909a675e525ece6d1b completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e8d7b6d48190a56c3d1921bb2088 completed March 14, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_69b4e966a5648190a449fbb23c39f905 completed March 14, 2026, 4:51 a.m.
Created at: March 8, 2026, 3:35 p.m.