Triple

T2899744
Position Surface form Disambiguated ID Type / Status
Subject Houari Boumediene Airport E62626 entity
Predicate ICAOcode P419 FINISHED
Object DAAG
DAAG is the ICAO airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
 E307860 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: DAAG | Statement: [Houari Boumediene Airport, ICAOcode, DAAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAAG
Context triple: [Houari Boumediene Airport, ICAOcode, DAAG]
  • A. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • B. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • C. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • D. DGA
    DGA is a prominent American labor union representing film and television directors and members of the directorial team.
  • E. GDAE
    GDAE (the Global Development and Environment Institute at Tufts University) is a research center focused on interdisciplinary studies of economics, environment, and social justice.
  • 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: DAAG
Triple: [Houari Boumediene Airport, ICAOcode, DAAG]
Generated description
DAAG is the ICAO airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAAG
Target entity description: DAAG is the ICAO airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
  • A. DA
    DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
  • B. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • C. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • D. DGA
    DGA is a prominent American labor union representing film and television directors and members of the directorial team.
  • E. GDAE
    GDAE (the Global Development and Environment Institute at Tufts University) is a research center focused on interdisciplinary studies of economics, environment, and social justice.
  • 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0ad7bbc8190822738baa6935b74 completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0318c544881909f6aabfb2d25e724 completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b038fdc7e881909dd0b6fd4f692e4a completed March 10, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_69b03bca591c81908b3734cc8f2e712b completed March 10, 2026, 3:42 p.m.
Created at: March 6, 2026, 10:10 p.m.