Triple

T14617400
Position Surface form Disambiguated ID Type / Status
Subject Villupuram E343119 entity
Predicate hasPincode P42719 FINISHED
Object 605602 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: 605602 | Statement: [Villupuram, hasPincode, 605602]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPincode
Context triple: [Villupuram, hasPincode, 605602]
  • A. hasPINCode chosen
    Indicates that an entity is associated with or assigned a specific personal identification number (PIN) code.
  • B. hasPINCodeSystem
    Indicates that an entity is equipped with or uses a PIN code–based authentication or access control system.
  • C. hasPin
    Indicates that one entity possesses, includes, or is equipped with a specific pin (such as a connector pin, security PIN, or fastening pin).
  • D. hasPostalFeature
    Indicates that one entity possesses, includes, or is characterized by a specific postal-related feature (such as a code, service, or facility).
  • E. hasPostalServiceThrough
    Indicates that one entity receives or provides postal services by means of, or via the infrastructure of, another entity.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69de656f9f4c81909f815b6629a9ee39 completed April 14, 2026, 4:03 p.m.
Created at: April 10, 2026, 1:25 a.m.