Triple

T1106480
Position Surface form Disambiguated ID Type / Status
Subject Sachin Tendulkar E25497 entity
Predicate retirementFromT20i P23206 FINISHED
Object 2007-09-01 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: 2007-09-01 | Statement: [Sachin Tendulkar, retirementFromT20i, 2007-09-01]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: retirementFromT20i
Context triple: [Sachin Tendulkar, retirementFromT20i, 2007-09-01]
  • A. retiredFrom
    Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
  • B. retiredTo
    Indicates that an entity has permanently left active service or work and taken up residence or status in a particular place or role as their retirement destination.
  • C. retired
    Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
  • D. forcedToRetire
    Indicates that an entity was compelled, rather than choosing voluntarily, to end their professional role or career.
  • E. retiredNumber
    Indicates that an entity (typically a team or organization) has formally withdrawn a specific number from future use, usually to honor a particular individual or achievement associated with that number.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e339f88190afc027216e95d2f7 completed March 1, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69a4b74877748190b78cd8847ee4fa7a completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b7da38888190a118ef20ce4ae9aa completed March 1, 2026, 10:04 p.m.
Created at: March 1, 2026, 7:43 p.m.