Triple

T7120538
Position Surface form Disambiguated ID Type / Status
Subject General Post Office, Kolkata E165937 entity
Predicate hasSteps P57199 FINISHED
Object broad flight of steps at main entrance 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: broad flight of steps at main entrance | Statement: [General Post Office, Kolkata, hasSteps, broad flight of steps at main entrance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSteps
Context triple: [General Post Office, Kolkata, hasSteps, broad flight of steps at main entrance]
  • A. hasStep
    Indicates that one entity includes, is composed of, or is associated with a specific step or stage in a process involving another entity.
  • B. hasStepsLeadingTo chosen
    Indicates that one location or object is connected to another by a set of steps or a staircase leading toward it.
  • C. hasStepFamily
    Indicates that one person is related to another as a member of a stepfamily, such as a stepparent, stepchild, or stepsibling, through marriage rather than blood or adoption.
  • D. hasStepDesign
    Indicates that one entity possesses or incorporates a particular step-related design or configuration in relation to another entity.
  • E. hasStepchildren
    Indicates that one person has stepchildren, meaning children of their spouse or partner from a previous relationship.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61ca6a88190a0eb9f287e3b723c completed March 27, 2026, 8:18 p.m.
PD Predicate disambiguation batch_69c6e1c7289881909f3b533c384f9ed4 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:43 p.m.