Triple

T32106690
Position Surface form Disambiguated ID Type / Status
Subject K2S E820000 entity
Predicate FSACode P173569 FINISHED
Object K2S 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: K2S | Statement: [K2S, FSACode, K2S]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: FSACode
Context triple: [K2S, FSACode, K2S]
  • A. FSACodePattern
    Indicates that an entity’s FSACode follows or matches a specified structural or syntactic pattern.
  • B. FIBACode
    Indicates a relationship where an entity is assigned or associated with a specific FIBA (International Basketball Federation) identification code.
  • C. FIPSCode
    Indicates the standardized Federal Information Processing Standards (FIPS) code assigned to identify a specific geographic or administrative entity.
  • D. FISCode
    Indicates a standardized financial institution identifier code used to uniquely reference a specific bank or financial entity in transactions or records.
  • E. FAAcode
    Indicates that an entity (such as an airport or facility) is associated with a specific identifying code assigned by the Federal Aviation Administration (FAA).
  • 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_69f34901106881908ea893ad504a08be completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b69c10b481909540be1db9b986f5 completed May 3, 2026, 2:44 a.m.
PD Predicate disambiguation batch_69f6b3a970b0819090c6473844ffa8e3 completed May 3, 2026, 2:32 a.m.
PDg Predicate description generation batch_69f6b49339048190b617a6749f648825 completed May 3, 2026, 2:36 a.m.
Created at: May 1, 2026, 12:27 a.m.