Triple

T2321981
Position Surface form Disambiguated ID Type / Status
Subject Al Jawf Region E48201 entity
Predicate capital P234 FINISHED
Object Sakakah
Sakakah is a city in northwestern Saudi Arabia that serves as the administrative and economic center of the Al Jawf Region.
 E256630 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: Sakakah | Statement: [Al Jawf Region, capital, Sakakah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sakakah
Context triple: [Al Jawf Region, capital, Sakakah]
  • A. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • B. Hacha-Kekan
    Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
  • C. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • D. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • E. Sokar
    Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
  • 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: Sakakah
Triple: [Al Jawf Region, capital, Sakakah]
Generated description
Sakakah is a city in northwestern Saudi Arabia that serves as the administrative and economic center of the Al Jawf Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sakakah
Target entity description: Sakakah is a city in northwestern Saudi Arabia that serves as the administrative and economic center of the Al Jawf Region.
  • A. Sakaar
    Sakaar is a chaotic, trash-covered planet ruled by the Grandmaster in the Marvel Cinematic Universe, known for its gladiatorial contests and bizarre cosmic detritus.
  • B. Hacha-Kekan
    Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
  • C. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • D. Sukki
    Sukki is one of the four snowman mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc6337e948190bb4860f7045914e1 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896b357c8190a6cdf99d5292037e completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8e8263a08190a0950dbb1336df70 completed March 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69ae8f9fe79c819080062587aed27379 completed March 9, 2026, 9:15 a.m.
Created at: March 4, 2026, 7:49 p.m.