Triple

T13112203
Position Surface form Disambiguated ID Type / Status
Subject Khamis Mushait E310998 entity
Predicate nearbyCity P350 FINISHED
Object Abha E214751 NE FINISHED

How this triple was built (2 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: Abha | Statement: [Khamis Mushait, nearbyCity, Abha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abha
Context triple: [Khamis Mushait, nearbyCity, Abha]
  • A. Abha chosen
    Abha is a city in southwestern Saudi Arabia known for its cool highland climate, mountainous scenery, and role as a cultural and administrative center of the Asir region.
  • B. Abohar
    Abohar is a town in the Fazilka district of Punjab, India, known for its agricultural produce and location near the Rajasthan and Haryana borders.
  • C. Duhshala
    Duhshala is the only daughter of King Dhritarashtra and Queen Gandhari in the Indian epic Mahabharata, known for her marriage to Jayadratha.
  • D. Sadulshahar
    Sadulshahar is a town in the northern Indian state of Rajasthan, situated within the Ganganagar district near the border with Punjab.
  • E. Lehri
    Lehri is a town and administrative area in Pakistan’s Balochistan province, known for its rural character and role as a local hub within the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27f5c4481909bc323c9d0c83dc9 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.