Triple

T19790457
Position Surface form Disambiguated ID Type / Status
Subject Julius Nyerere International Airport E475394 entity
Predicate IATAcode P418 FINISHED
Object DAR
DAR is the IATA airport code for Julius Nyerere International Airport, the main international gateway to Dar es Salaam, Tanzania.
 E1396322 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: DAR | Statement: [Julius Nyerere International Airport, IATAcode, DAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAR
Context triple: [Julius Nyerere International Airport, IATAcode, DAR]
  • A. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • B. DAR
    DAR is the abbreviated name for the Division of Aquatic Resources, a government body responsible for managing and conserving aquatic ecosystems and resources.
  • C. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • D. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • E. DGAR
    DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
  • 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: DAR
Triple: [Julius Nyerere International Airport, IATAcode, DAR]
Generated description
DAR is the IATA airport code for Julius Nyerere International Airport, the main international gateway to Dar es Salaam, Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAR
Target entity description: DAR is the IATA airport code for Julius Nyerere International Airport, the main international gateway to Dar es Salaam, Tanzania.
  • A. DAR
    DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
  • B. DAR
    DAR is the abbreviated name for the Division of Aquatic Resources, a government body responsible for managing and conserving aquatic ecosystems and resources.
  • C. DARD
    DARD is an organization focused on translating research findings into practical applications and real-world impact.
  • D. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • E. DGAR
    DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c217bc819092c517b27ca22087 completed April 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4fdbf4c8190a9177e87b65fc965 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c90c07a48190b0f23597124b5017 completed May 16, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a07c97b33b481909e9b45b37cfe87b3 completed May 16, 2026, 1:33 a.m.
Created at: April 10, 2026, 1:49 p.m.