Triple

T7022139
Position Surface form Disambiguated ID Type / Status
Subject Penghu Airport E162851 entity
Predicate hasIATAcode P2569 FINISHED
Object MZG
MZG is the IATA airport code for Penghu Airport, which serves the Penghu (Pescadores) archipelago in Taiwan.
 E637004 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: MZG | Statement: [Penghu Airport, hasIATAcode, MZG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MZG
Context triple: [Penghu Airport, hasIATAcode, MZG]
  • A. MZG
    MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
  • B. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • C. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • D. MZN
    MZN is the official currency code for the Mozambican metical, the national currency of Mozambique.
  • E. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • 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: MZG
Triple: [Penghu Airport, hasIATAcode, MZG]
Generated description
MZG is the IATA airport code for Penghu Airport, which serves the Penghu (Pescadores) archipelago in Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MZG
Target entity description: MZG is the IATA airport code for Penghu Airport, which serves the Penghu (Pescadores) archipelago in Taiwan.
  • A. MZG
    MZG is the vehicle registration code used on license plates for vehicles registered in the town of Wadern in Germany.
  • B. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • C. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • D. MZN
    MZN is the official currency code for the Mozambican metical, the national currency of Mozambique.
  • E. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • 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_69c6885b26248190a857541e3d10e299 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1ec34a48190b64cafb94e2f8706 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7757686bc819089f6749e43bbb89d completed March 28, 2026, 6:30 a.m.
NEDg Description generation batch_69c778f1b3508190b58bbec8877a6052 completed March 28, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_69c779cad0188190a840be47d2af5b2b completed March 28, 2026, 6:48 a.m.
Created at: March 27, 2026, 2:35 p.m.