Triple

T16061460
Position Surface form Disambiguated ID Type / Status
Subject Beijing Nanyuan Airport E389622 entity
Predicate IATAcode P418 FINISHED
Object NAY
NAY is the IATA airport code for Beijing Nanyuan Airport, a former military and civil airport serving Beijing, China.
 E1191141 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: NAY | Statement: [Beijing Nanyuan Airport, IATAcode, NAY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NAY
Context triple: [Beijing Nanyuan Airport, IATAcode, NAY]
  • A. NAAD
    NAAD is an American-based advocacy organization that represents Azerbaijani Americans and promotes democratic values and human rights related to Azerbaijan.
  • B. nyn
    nyn is the ISO 639 language code for Runyankole, a Bantu language spoken primarily in southwestern Uganda.
  • C. Nayer
    Nayer is a Cuban-American singer and songwriter best known for her collaborations on international pop and dance hits, including work with Pitbull and other Latin pop producers.
  • D. NA
    NA is the commonly used abbreviation for the National Assembly of Pakistan, the lower house of the country's bicameral parliament.
  • E. NA
    The NA is the land warfare branch and largest component of the Nigerian Armed Forces, responsible for ground military operations and national defense.
  • 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: NAY
Triple: [Beijing Nanyuan Airport, IATAcode, NAY]
Generated description
NAY is the IATA airport code for Beijing Nanyuan Airport, a former military and civil airport serving Beijing, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NAY
Target entity description: NAY is the IATA airport code for Beijing Nanyuan Airport, a former military and civil airport serving Beijing, China.
  • A. NAAD
    NAAD is an American-based advocacy organization that represents Azerbaijani Americans and promotes democratic values and human rights related to Azerbaijan.
  • B. nyn
    nyn is the ISO 639 language code for Runyankole, a Bantu language spoken primarily in southwestern Uganda.
  • C. Nayer
    Nayer is a Cuban-American singer and songwriter best known for her collaborations on international pop and dance hits, including work with Pitbull and other Latin pop producers.
  • D. NA
    NA is the commonly used abbreviation for the National Assembly of Pakistan, the lower house of the country's bicameral parliament.
  • E. NA
    The NA is the land warfare branch and largest component of the Nigerian Armed Forces, responsible for ground military operations and national defense.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183795100819097be92e6d07dc5b1 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe88a608190bc0a0cbfdb71e81d completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffdce9591c81909e6bb5c13ddf84cd completed May 10, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69ffddb0ff848190ace70b55d9861040 completed May 10, 2026, 1:21 a.m.
Created at: April 10, 2026, 4:57 a.m.