Triple

T22986135
Position Surface form Disambiguated ID Type / Status
Subject Refinería E571611 entity
Predicate hasStationCode P1289 FINISHED
Object RFN
RFN is the station code for Refinería, a Mexico City Metro station serving the area near the city’s oil refinery facilities.
 E1565318 NE FINISHED

How this triple was built (4 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: RFN | Statement: [Refinería, hasStationCode, RFN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RFN
Context triple: [Refinería, hasStationCode, RFN]
  • A. .rf
    .rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
  • B. FRF
    FRF is a NUTS 1 statistical region code designating the French region of Brittany within the European Union’s territorial classification system.
  • C. RFF
    RFF (Réseau Ferré de France) was the French public agency responsible for owning, managing, and developing France’s national railway infrastructure.
  • D. RFA
    RFA is the ship prefix used by vessels of the Royal Fleet Auxiliary, the civilian-manned fleet that supports the United Kingdom’s Royal Navy with logistical and operational services.
  • E. RDFN
    RDFN is the stock ticker symbol for Redfin Corporation, a technology-powered real estate brokerage and home-search platform.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RFN
Triple: [Refinería, hasStationCode, RFN]
Generated description
RFN is the station code for Refinería, a Mexico City Metro station serving the area near the city’s oil refinery facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RFN
Target entity description: RFN is the station code for Refinería, a Mexico City Metro station serving the area near the city’s oil refinery facilities.
  • A. .rf
    .rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
  • B. FRF
    FRF is a NUTS 1 statistical region code designating the French region of Brittany within the European Union’s territorial classification system.
  • C. RFF
    RFF (Réseau Ferré de France) was the French public agency responsible for owning, managing, and developing France’s national railway infrastructure.
  • D. RFA
    RFA is the ship prefix used by vessels of the Royal Fleet Auxiliary, the civilian-manned fleet that supports the United Kingdom’s Royal Navy with logistical and operational services.
  • E. RDFN
    RDFN is the stock ticker symbol for Redfin Corporation, a technology-powered real estate brokerage and home-search platform.
  • F. None of above. chosen

Provenance (5 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182996ee08190ab74014ee7ecac2b completed April 29, 2026, 4:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd376fff08190b35d33b0db8f2e8a completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd7f95c208190ae836554fbb958a2 completed May 19, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd8a2c470819081fbbc871391215e completed May 19, 2026, 3:27 a.m.
Created at: April 17, 2026, 3:49 p.m.