Triple

T18538343
Position Surface form Disambiguated ID Type / Status
Subject PIN code system of India E453022 entity
Predicate examplePIN P42719 FINISHED
Object 110001 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: 110001 | Statement: [PIN code system of India, examplePIN, 110001]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: examplePIN
Context triple: [PIN code system of India, examplePIN, 110001]
  • A. hasPINCode chosen
    Indicates that an entity is associated with or assigned a specific personal identification number (PIN) code.
  • B. hasPin
    Indicates that one entity possesses, includes, or is equipped with a specific pin (such as a connector pin, security PIN, or fastening pin).
  • C. hasPINCodeSystem
    Indicates that an entity is equipped with or uses a PIN code–based authentication or access control system.
  • D. hasNumberOfPins
    Indicates that an entity is associated with a specific count of pins it possesses or uses.
  • E. imoNumber
    Indicates that an entity is associated with a specific International Maritime Organization (IMO) identification number used to uniquely identify ships and certain maritime structures.
  • F. None of above.

Provenance (3 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534030bd88190b25b95305a12a0c1 completed April 19, 2026, 7:58 p.m.
PD Predicate disambiguation batch_69e469e0025c81908f16ed4f922674af completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:37 a.m.