Triple

T9545736
Position Surface form Disambiguated ID Type / Status
Subject Eugenio María de Hostos Airport E230279 entity
Predicate IATAcode P418 FINISHED
Object MAZ
MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
 E805208 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: MAZ | Statement: [Eugenio María de Hostos Airport, IATAcode, MAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAZ
Context triple: [Eugenio María de Hostos Airport, IATAcode, MAZ]
  • A. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • B. Ma
    Ma is a fictional character appearing in Enid Blyton’s children’s adventure novel "The Circus of Adventure."
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. Ma
    Ma is a 2019 psychological horror film starring Octavia Spencer as a lonely woman who befriends a group of teenagers with increasingly disturbing consequences.
  • E. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • 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: MAZ
Triple: [Eugenio María de Hostos Airport, IATAcode, MAZ]
Generated description
MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAZ
Target entity description: MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
  • A. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • B. Ma
    Ma is a fictional character appearing in Enid Blyton’s children’s adventure novel "The Circus of Adventure."
  • C. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • D. Ma
    Ma is a 2019 psychological horror film starring Octavia Spencer as a lonely woman who befriends a group of teenagers with increasingly disturbing consequences.
  • E. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • 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.