Triple

T15482510
Position Surface form Disambiguated ID Type / Status
Subject Al Bahah E376953 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: [Al Bahah, nearbyCity, Abha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abha
Context triple: [Al Bahah, 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0f4e648190b9cd9b1464209224 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:38 a.m.