Triple

T9545737
Position Surface form Disambiguated ID Type / Status
Subject Eugenio María de Hostos Airport E230279 entity
Predicate ICAOcode P419 FINISHED
Object TJMZ
TJMZ is the ICAO airport code for Eugenio María de Hostos Airport, a public airport serving the city of Mayagüez in Puerto Rico.
 E805209 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: TJMZ | Statement: [Eugenio María de Hostos Airport, ICAOcode, TJMZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TJMZ
Context triple: [Eugenio María de Hostos Airport, ICAOcode, TJMZ]
  • A. TJM
    TJM is the IATA airport code for Roshchino International Airport serving Tyumen in western Siberia, Russia.
  • B. BJZ
    BJZ is the three-letter IATA airport code for Badajoz Airport in western Spain.
  • C. ZTM
    ZTM is a notable work created by Z-Money, likely recognized as one of the artist's key music releases.
  • D. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • E. Miji
    Miji are an indigenous ethnic group of Arunachal Pradesh in northeastern India, known for their distinct Tibeto-Burman language and traditional hill culture.
  • 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: TJMZ
Triple: [Eugenio María de Hostos Airport, ICAOcode, TJMZ]
Generated description
TJMZ is the ICAO airport code for Eugenio María de Hostos Airport, a public airport serving the city of Mayagüez in Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TJMZ
Target entity description: TJMZ is the ICAO airport code for Eugenio María de Hostos Airport, a public airport serving the city of Mayagüez in Puerto Rico.
  • A. TJM
    TJM is the IATA airport code for Roshchino International Airport serving Tyumen in western Siberia, Russia.
  • B. BJZ
    BJZ is the three-letter IATA airport code for Badajoz Airport in western Spain.
  • C. ZTM
    ZTM is a notable work created by Z-Money, likely recognized as one of the artist's key music releases.
  • D. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • E. Miji
    Miji are an indigenous ethnic group of Arunachal Pradesh in northeastern India, known for their distinct Tibeto-Burman language and traditional hill culture.
  • 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9901f2bc8190a4076f5947660df9 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c747e608190b2fa470324fff454 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14cfcfc6c8190a39f4db25ffa160e completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14d5dad98819089c49afd3d097c1f completed April 4, 2026, 5:41 p.m.
Created at: March 30, 2026, 8:01 p.m.