Triple

T11257505
Position Surface form Disambiguated ID Type / Status
Subject Transnet Freight Rail E266474 entity
Predicate hasAbbreviation P43 FINISHED
Object TFR E577526 NE 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: TFR | Statement: [Transnet Freight Rail, hasAbbreviation, TFR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TFR
Context triple: [Transnet Freight Rail, hasAbbreviation, TFR]
  • A. TFR chosen
    TFR is the state-owned freight rail division of Transnet that operates and manages South Africa’s national rail freight network.
  • B. TFFR
    TFFR is the ICAO airport code for Pointe-à-Pitre International Airport, the main international gateway to Guadeloupe in the Caribbean.
  • C. TR
    TR is the common abbreviation for the Textus Receptus, a historically influential printed Greek New Testament text that underlies many early Protestant Bible translations.
  • D. TR
    TR is the IATA airport code for Singapore-based low-cost airline Scoot.
  • E. TR
    TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e935b85c819085e1abf2dd4099c5 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4cca0d25c8190bfdbe1f6ee3b04cb completed April 19, 2026, 12:37 p.m.
Created at: April 8, 2026, 9:31 p.m.