Triple

T8989549
Position Surface form Disambiguated ID Type / Status
Subject Asiri people E214753 entity
Predicate associatedWithCity P1481 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: [Asiri people, associatedWithCity, Abha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abha
Context triple: [Asiri people, associatedWithCity, 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. Duhshala
    Duhshala is the only daughter of King Dhritarashtra and Queen Gandhari in the Indian epic Mahabharata, known for her marriage to Jayadratha.
  • C. Sadulshahar
    Sadulshahar is a town in the northern Indian state of Rajasthan, situated within the Ganganagar district near the border with Punjab.
  • D. 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.
  • E. Phagwara
    Phagwara is a prominent industrial and commercial city in the Indian state of Punjab, known for its textile and agricultural machinery industries and its location on the major highway between Ludhiana and Jalandhar.
  • 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc687205c88190a4cdf12ee2cdfd14 completed April 1, 2026, 12:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c58c94819095979b82a50cb77d completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:04 p.m.