Triple

T9530412
Position Surface form Disambiguated ID Type / Status
Subject PE postcode area E229875 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object PE5
PE5 is a postcode district in the PE (Peterborough) postcode area of eastern England, covering a small rural region near Peterborough.
 E805001 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: PE5 | Statement: [PE postcode area, hasPostcodeDistrict, PE5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PE5
Context triple: [PE postcode area, hasPostcodeDistrict, PE5]
  • A. P5
    P5 is the CERN Large Hadron Collider interaction point that hosts the CMS experiment and associated infrastructure.
  • B. P5
    P5 is a common abbreviation for the “Power Five,” the group of the five most prominent NCAA Division I college athletic conferences in the United States.
  • C. P75
    P75 is an early 3rd-century Greek papyrus manuscript containing significant portions of the Gospels of Luke and John, valued for its importance in New Testament textual criticism.
  • D. PB-05
    PB-05 is the regional vehicle registration code assigned to the Ferozepur district in the Indian state of Punjab.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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: PE5
Triple: [PE postcode area, hasPostcodeDistrict, PE5]
Generated description
PE5 is a postcode district in the PE (Peterborough) postcode area of eastern England, covering a small rural region near Peterborough.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PE5
Target entity description: PE5 is a postcode district in the PE (Peterborough) postcode area of eastern England, covering a small rural region near Peterborough.
  • A. P5
    P5 is the CERN Large Hadron Collider interaction point that hosts the CMS experiment and associated infrastructure.
  • B. P5
    P5 is a common abbreviation for the “Power Five,” the group of the five most prominent NCAA Division I college athletic conferences in the United States.
  • C. P75
    P75 is an early 3rd-century Greek papyrus manuscript containing significant portions of the Gospels of Luke and John, valued for its importance in New Testament textual criticism.
  • D. PB-05
    PB-05 is the regional vehicle registration code assigned to the Ferozepur district in the Indian state of Punjab.
  • E. Pe
    Pe is a Hebrew consonant letter that represents a "p" or "f" sound and has both standard and final written forms.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b2de3081909be70d9ab187dce6 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c38a3848190ab3561f70497c9eb completed April 4, 2026, 5:36 p.m.
NEDg Description generation batch_69d14d23573c8190aeebf2fdac20a332 completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14da4514481908a530b5d77ad832a completed April 4, 2026, 5:43 p.m.
Created at: March 30, 2026, 8 p.m.