Triple

T9861251
Position Surface form Disambiguated ID Type / Status
Subject Abu Arish E239716 entity
Predicate roadConnectionTo P9041 FINISHED
Object Sabya E239715 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: Sabya | Statement: [Abu Arish, roadConnectionTo, Sabya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabya
Context triple: [Abu Arish, roadConnectionTo, Sabya]
  • A. Sabya chosen
    Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
  • B. Shoba
    Shoba was an acclaimed Indian film actress known for her powerful performances in Malayalam and Tamil cinema, whose promising career was cut short by her tragic death at a young age.
  • C. Sarabha
    Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
  • D. Sibi
    Sibi is a historic town and district in the Balochistan region of Pakistan, known for its hot climate and traditional annual cattle and horse fair.
  • E. Soyarabai
    Soyarabai was a Maratha queen and consort of Chhatrapati Shivaji Maharaj, known as the mother of Rajaram I and a key figure in the politics of the early Maratha Empire.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b6aa108190978f1c0cdc0f45a0 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4411a9481909657f522af7500ac completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:35 p.m.