Triple

T9107194
Position Surface form Disambiguated ID Type / Status
Subject Diriyah Gate E218506 entity
Predicate developer P73 FINISHED
Object DGDA
DGDA is the Saudi government authority responsible for developing and transforming the historic Diriyah area into a major cultural and tourism destination.
 E777228 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: DGDA | Statement: [Diriyah Gate, developer, DGDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DGDA
Context triple: [Diriyah Gate, developer, DGDA]
  • A. GDA
    GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
  • B. GD A
    GD A is the designated site code used to identify Gondolin Cave in scientific and archaeological records.
  • C. DGAR
    DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
  • D. DGAA
    DGAA is the ICAO airport code for Kotoka International Airport, the main international gateway serving Accra, Ghana.
  • E. DGA
    DGA is France’s defense procurement and technology agency responsible for equipping the armed forces and overseeing major military research and development programs.
  • 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: DGDA
Triple: [Diriyah Gate, developer, DGDA]
Generated description
DGDA is the Saudi government authority responsible for developing and transforming the historic Diriyah area into a major cultural and tourism destination.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DGDA
Target entity description: DGDA is the Saudi government authority responsible for developing and transforming the historic Diriyah area into a major cultural and tourism destination.
  • A. GDA
    GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
  • B. GD A
    GD A is the designated site code used to identify Gondolin Cave in scientific and archaeological records.
  • C. DGAR
    DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
  • D. DGAA
    DGAA is the ICAO airport code for Kotoka International Airport, the main international gateway serving Accra, Ghana.
  • E. DGA
    DGA is France’s defense procurement and technology agency responsible for equipping the armed forces and overseeing major military research and development programs.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca573da0081909f4afcdb3ac99c53 completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01842c12c81909fdb57b60e2f11f1 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d0196766248190aebda80cbd7d1eef completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019d76d2481909118b163ce5713f2 completed April 3, 2026, 7:49 p.m.
Created at: March 30, 2026, 7:16 p.m.