Triple

T22169675
Position Surface form Disambiguated ID Type / Status
Subject Komodo Airport E547885 entity
Predicate ICAOcode P419 FINISHED
Object WATO
WATO is the ICAO airport code assigned to Komodo Airport in Labuan Bajo, Indonesia.
 E1523057 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: WATO | Statement: [Komodo Airport, ICAOcode, WATO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WATO
Context triple: [Komodo Airport, ICAOcode, WATO]
  • A. Imbera
    Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
  • B. Philips Wing
    Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
  • C. Baxter
    Baxter is a collaborative industrial robot developed by Rethink Robotics, designed to safely work alongside humans in manufacturing and research environments.
  • D. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • E. Baxter
    Baxter is a small unincorporated community located in Baker County, Florida.
  • 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: WATO
Triple: [Komodo Airport, ICAOcode, WATO]
Generated description
WATO is the ICAO airport code assigned to Komodo Airport in Labuan Bajo, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WATO
Target entity description: WATO is the ICAO airport code assigned to Komodo Airport in Labuan Bajo, Indonesia.
  • A. Imbera
    Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
  • B. Philips Wing
    Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
  • C. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • D. Baxter
    Baxter is a small unincorporated community located in Baker County, Florida.
  • E. Baxter
    Baxter is a musical act known for its association with the hardcore band The Killing Tree.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6721e8819081d732df2691f4a4 completed April 28, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ec2bb908190b6f1dbffd753f1e6 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9f9075e48190a7f9785fdcc0b5b6 completed May 18, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa03a8e0c819089dc48473b5b743c completed May 18, 2026, 5:14 a.m.
Created at: April 16, 2026, 8:34 p.m.