Triple

T6986772
Position Surface form Disambiguated ID Type / Status
Subject Soekarno–Hatta International Airport E161983 entity
Predicate ICAOcode P419 FINISHED
Object WIII
WIII is the ICAO airport code for Soekarno–Hatta International Airport, the main international gateway serving Jakarta, Indonesia.
E633400 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: WIII | Statement: [Soekarno–Hatta International Airport, ICAOcode, WIII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WIII
Context triple: [Soekarno–Hatta International Airport, ICAOcode, WIII]
  • A. WIQ
    WIQ is the National Rail station code for West India Quay Docklands Light Railway station in London.
  • B. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • C. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • D. WIP-FM
    WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
  • E. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • 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: WIII
Triple: [Soekarno–Hatta International Airport, ICAOcode, WIII]
Generated description
WIII is the ICAO airport code for Soekarno–Hatta International Airport, the main international gateway serving Jakarta, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WIII
Target entity description: WIII is the ICAO airport code for Soekarno–Hatta International Airport, the main international gateway serving Jakarta, Indonesia.
  • A. WIQ
    WIQ is the National Rail station code for West India Quay Docklands Light Railway station in London.
  • B. WMMR
    WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
  • C. WATH
    WATH is a local radio station serving the Athens, Ohio area with news, talk, and music programming.
  • D. WIP-FM
    WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
  • E. WTW
    WTW is the abbreviation for "Walking Together on the Way," an ecumenical document focused on fostering unity and dialogue among Christian traditions.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db93c0ac8190a752a633247bb439 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761cfda14819088e11889f0151a37 completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c7630440508190a66f218fd912d732 completed March 28, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69c7639747b88190b3429817d53c5703 completed March 28, 2026, 5:13 a.m.
Created at: March 27, 2026, 2:32 p.m.