Triple

T14200488
Position Surface form Disambiguated ID Type / Status
Subject Al Asimah Governorate E351951 entity
Predicate includes P1393 FINISHED
Object Qairawan
Qairawan is a locality within Kuwait’s Al Asimah (Capital) Governorate, forming part of the urban area around Kuwait City.
E1088800 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: Qairawan | Statement: [Al Asimah Governorate, includes, Qairawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qairawan
Context triple: [Al Asimah Governorate, includes, Qairawan]
  • A. Hamina
    Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
  • B. Birgu
    Birgu is a historic fortified city in Malta, renowned for its strategic harbor position and pivotal role in the island’s military and maritime history.
  • C. Berrechid
    Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
  • D. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
  • E. Ghadamis
    Ghadamis is an ancient oasis town in western Libya, renowned for its well-preserved traditional mud-brick architecture and status as a UNESCO World Heritage Site.
  • 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: Qairawan
Triple: [Al Asimah Governorate, includes, Qairawan]
Generated description
Qairawan is a locality within Kuwait’s Al Asimah (Capital) Governorate, forming part of the urban area around Kuwait City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Qairawan
Target entity description: Qairawan is a locality within Kuwait’s Al Asimah (Capital) Governorate, forming part of the urban area around Kuwait City.
  • A. Hamina
    Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
  • B. Birgu
    Birgu is a historic fortified city in Malta, renowned for its strategic harbor position and pivotal role in the island’s military and maritime history.
  • C. Berrechid
    Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
  • D. Ghadamisi
    Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
  • E. Ghadamis
    Ghadamis is an ancient oasis town in western Libya, renowned for its well-preserved traditional mud-brick architecture and status as a UNESCO World Heritage Site.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f472548190a1a7edc40526eac3 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324b86748190b3e0a39383969cc7 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd331562308190a0a2dfcc4a0d26a0 completed May 8, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd338f13dc8190b264534ed9a78cb5 completed May 8, 2026, 12:51 a.m.
Created at: April 10, 2026, 1:04 a.m.