Triple

T3237431
Position Surface form Disambiguated ID Type / Status
Subject Hamad International Airport E67888 entity
Predicate ICAOcode P419 FINISHED
Object OTHH
OTHH is the ICAO airport code for Hamad International Airport, the main international gateway serving Doha, Qatar.
 E340361 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: OTHH | Statement: [Hamad International Airport, ICAOcode, OTHH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OTHH
Context triple: [Hamad International Airport, ICAOcode, OTHH]
  • A. Otta
    Otta is a small Norwegian town known as a regional transport hub and gateway to popular mountain and national park areas.
  • B. TLH
    TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
  • C. GTHO
    GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • D. Lo-Toga
    Lo-Toga is an Oceanic language spoken on the Torres Islands in northern Vanuatu.
  • E. Ettuthokai
    Ettuthokai is a classical Tamil anthology comprising eight collections of early Sangam poems that are central to ancient Tamil literature.
  • 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: OTHH
Triple: [Hamad International Airport, ICAOcode, OTHH]
Generated description
OTHH is the ICAO airport code for Hamad International Airport, the main international gateway serving Doha, Qatar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OTHH
Target entity description: OTHH is the ICAO airport code for Hamad International Airport, the main international gateway serving Doha, Qatar.
  • A. Otta
    Otta is a small Norwegian town known as a regional transport hub and gateway to popular mountain and national park areas.
  • B. TLH
    TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
  • C. GTHO
    GTHO is a climate forecasting product that provides weekly to subseasonal outlooks of potential tropical hazards such as heavy rainfall, drought, and tropical cyclone activity across the global tropics.
  • D. Lo-Toga
    Lo-Toga is an Oceanic language spoken on the Torres Islands in northern Vanuatu.
  • E. Ettuthokai
    Ettuthokai is a classical Tamil anthology comprising eight collections of early Sangam poems that are central to ancient Tamil literature.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774a97c481908be820bc5ddf786d completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b2780e41e0819080ddb26668f32838 completed March 12, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69b27bd238a48190b9d13ee8a8bc955d completed March 12, 2026, 8:39 a.m.
Created at: March 8, 2026, 3:08 p.m.