Triple

T21700472
Position Surface form Disambiguated ID Type / Status
Subject Zamboanga International Airport E535641 entity
Predicate iataCode P2569 FINISHED
Object ZAM
ZAM is the IATA airport code for Zamboanga International Airport, a major air gateway serving Zamboanga City in the southern Philippines.
E1496367 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: ZAM | Statement: [Zamboanga International Airport, iataCode, ZAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZAM
Context triple: [Zamboanga International Airport, iataCode, ZAM]
  • A. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • B. ZM
    ZM is the ISO 3166-1 alpha-2 country code for Zambia, a landlocked nation in southern Africa.
  • C. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • D. ZAG
    ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
  • E. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • 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: ZAM
Triple: [Zamboanga International Airport, iataCode, ZAM]
Generated description
ZAM is the IATA airport code for Zamboanga International Airport, a major air gateway serving Zamboanga City in the southern Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZAM
Target entity description: ZAM is the IATA airport code for Zamboanga International Airport, a major air gateway serving Zamboanga City in the southern Philippines.
  • A. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • B. ZM
    ZM is the ISO 3166-1 alpha-2 country code for Zambia, a landlocked nation in southern Africa.
  • C. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • D. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • E. ZAG
    ZAG is the three-letter IATA airport code for Zagreb Franjo Tuđman Airport, the main international airport serving Croatia’s capital city, Zagreb.
  • 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_69e0c46b44c0819088ab883ebd44e0e8 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef9b7edd3c8190bca83ef37598cbfb completed April 27, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e2937688190a8a989ada1101a07 completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1ebd2bbc819083021cbc5873bfed completed May 17, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1fa12dbc8190a263b12f75ef073b completed May 17, 2026, 8:05 p.m.
Created at: April 16, 2026, 6:45 p.m.