Triple

T4164112
Position Surface form Disambiguated ID Type / Status
Subject NP7 E84399 entity
Predicate hasPostcodeFormat P54205 FINISHED
Object NP7 nnn LITERAL FINISHED

How this triple was built (2 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: NP7 nnn | Statement: [NP7, hasPostcodeFormat, NP7 nnn]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPostcodeFormat
Context triple: [NP7, hasPostcodeFormat, NP7 nnn]
  • A. hasPostalCodePrefix
    Indicates that a location’s postal code begins with a specified sequence of characters.
  • B. hasPostalFeature
    Indicates that one entity possesses, includes, or is characterized by a specific postal-related feature (such as a code, service, or facility).
  • C. postalCodeSystem
    Indicates a system that assigns structured postal codes to geographic areas for organizing and routing mail.
  • D. hasPostalSystem
    Indicates that an entity possesses or operates an organized system for sending, receiving, and delivering mail or parcels.
  • E. hasPostalCountryCode
    Indicates that an entity is associated with a specific country code used for postal addressing or mail routing.
  • F. None of above. chosen

Provenance (4 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0321eee88190871c1d4bf44a5007 completed March 9, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69af018dc90c8190a754b1bfbc802e80 completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af0320775c8190b90d80f512060f1c completed March 9, 2026, 5:28 p.m.
Created at: March 9, 2026, 3:44 p.m.