Triple

T12099103
Position Surface form Disambiguated ID Type / Status
Subject Air Peace E288144 entity
Predicate ICAOcode P419 FINISHED
Object APK
APK is the ICAO airline designator assigned to Air Peace, a Nigerian commercial airline.
 E963345 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: APK | Statement: [Air Peace, ICAOcode, APK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: APK
Context triple: [Air Peace, ICAOcode, APK]
  • A. apk-tools
    apk-tools is the lightweight package management system used by Alpine Linux to install, upgrade, and manage software packages.
  • B. AAPT
    AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
  • C. Android
    Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
  • D. Appar
    Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
  • E. JAR
    JAR is the acronym for the Joint Aviation Requirements, a set of harmonized civil aviation regulations developed by the former Joint Aviation Authorities in Europe.
  • 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: APK
Triple: [Air Peace, ICAOcode, APK]
Generated description
APK is the ICAO airline designator assigned to Air Peace, a Nigerian commercial airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: APK
Target entity description: APK is the ICAO airline designator assigned to Air Peace, a Nigerian commercial airline.
  • A. apk-tools
    apk-tools is the lightweight package management system used by Alpine Linux to install, upgrade, and manage software packages.
  • B. AAPT
    AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
  • C. Android
    Android is a mobile operating system developed by Google, widely used on smartphones, tablets, and other smart devices around the world.
  • D. Appar
    Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
  • E. JAR
    JAR is the acronym for the Joint Aviation Requirements, a set of harmonized civil aviation regulations developed by the former Joint Aviation Authorities in Europe.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6724de481909fe29e3278136ea2 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:48 p.m.