Triple

T10870720
Position Surface form Disambiguated ID Type / Status
Subject Grupo IAMSA E256642 entity
Predicate hasBrand P1500 FINISHED
Object ETN
ETN is a Mexican long-distance bus company known for its luxury coach services and comfortable, premium travel experience.
 E890730 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: ETN | Statement: [Grupo IAMSA, hasBrand, ETN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ETN
Context triple: [Grupo IAMSA, hasBrand, ETN]
  • A. ETFC
    ETFC was the stock ticker symbol for E*TRADE Financial Corporation, a major U.S. online brokerage and financial services company.
  • B. EETN
    EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • C. ETAF
    ETAF is the acronym for the Ethiopian Air Force, the aerial warfare branch of Ethiopia’s military responsible for air defense and support operations.
  • D. ETI
    ETI is the station code for Estación Etiopía, a metro station in Mexico City’s rapid transit system.
  • E. ETCs
    ETCs (Exchange Traded Commodities) are exchange-traded securities that track the performance of individual commodities or commodity indices, allowing investors to gain commodity exposure via the stock market.
  • 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: ETN
Triple: [Grupo IAMSA, hasBrand, ETN]
Generated description
ETN is a Mexican long-distance bus company known for its luxury coach services and comfortable, premium travel experience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ETN
Target entity description: ETN is a Mexican long-distance bus company known for its luxury coach services and comfortable, premium travel experience.
  • A. ETFC
    ETFC was the stock ticker symbol for E*TRADE Financial Corporation, a major U.S. online brokerage and financial services company.
  • B. EETN
    EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • C. ETAF
    ETAF is the acronym for the Ethiopian Air Force, the aerial warfare branch of Ethiopia’s military responsible for air defense and support operations.
  • D. ETI
    ETI is the station code for Estación Etiopía, a metro station in Mexico City’s rapid transit system.
  • E. ETCs
    ETCs (Exchange Traded Commodities) are exchange-traded securities that track the performance of individual commodities or commodity indices, allowing investors to gain commodity exposure via the stock market.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7518610e48190bee50db71ae0ca3e completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d9ce3c8190afeb2a27fb82b594 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e03cc71a4c81909147945dff371217 completed April 16, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69e03dfb02c4819087a697ba7f5a1135 completed April 16, 2026, 1:40 a.m.
Created at: April 8, 2026, 9:20 p.m.