Triple

T6932004
Position Surface form Disambiguated ID Type / Status
Subject Madrid–Barcelona railway E160456 entity
Predicate infrastructureManager P15572 FINISHED
Object ADIF E582702 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: ADIF | Statement: [Madrid–Barcelona railway, infrastructureManager, ADIF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADIF
Context triple: [Madrid–Barcelona railway, infrastructureManager, ADIF]
  • A. ADIF chosen
    ADIF is Spain’s state-owned railway infrastructure manager, responsible for the construction, maintenance, and operation of most of the country’s rail network.
  • B. ADF
    ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
  • C. ADF
    ADF (Allied Democratic Forces) is an Islamist rebel group originally from Uganda that operates primarily in eastern Democratic Republic of the Congo and is known for violent attacks on civilians.
  • D. ADI
    ADI is the station code for Ahmedabad Junction, a major railway hub in the Indian state of Gujarat.
  • E. Cif
    Cif is a household cleaning product brand known for its creams and sprays used to remove tough dirt and stains from various surfaces.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da3e58f08190857c14f538448039 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7585e45448190accdddcbb4bd69ed completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:27 p.m.