Triple

T1959757
Position Surface form Disambiguated ID Type / Status
Subject Terminal Aérea E42354 entity
Predicate hasStationCode P1289 FINISHED
Object TAE
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
E219289 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: TAE | Statement: [Terminal Aérea, hasStationCode, TAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAE
Context triple: [Terminal Aérea, hasStationCode, TAE]
  • A. TAA
    TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
  • B. taegeuk
    Taegeuk is the yin–yang-inspired symbol of harmonious cosmic balance that appears at the center of the South Korean flag and in various aspects of Korean philosophy and culture.
  • C. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • D. TTA
    TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
  • E. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • 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: TAE
Triple: [Terminal Aérea, hasStationCode, TAE]
Generated description
TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TAE
Target entity description: TAE is the station code for Terminal Aérea, a Mexico City Metro station serving passengers traveling to and from the city’s international airport.
  • A. TAA
    TAA is the stock ticker symbol for Tandberg, a Norwegian company known for its video conferencing and telecommunication solutions.
  • B. taegeuk
    Taegeuk is the yin–yang-inspired symbol of harmonious cosmic balance that appears at the center of the South Korean flag and in various aspects of Korean philosophy and culture.
  • C. TAI
    TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
  • D. TTA
    TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
  • E. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37f737881908130bb828affcaa2 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbcea048819091d705095f0d3f68 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc8efb0c81908bce5a4a13359801 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd8115d481909716e11b943cbf61 completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.