Triple

T10601954
Position Surface form Disambiguated ID Type / Status
Subject Al-Ahsa E275768 entity
Predicate hasCity P316 FINISHED
Object Hofuf E218509 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: Hofuf | Statement: [Al-Ahsa, hasCity, Hofuf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hofuf
Context triple: [Al-Ahsa, hasCity, Hofuf]
  • A. Hofuf chosen
    Hofuf is a major oasis city in Saudi Arabia’s Al-Ahsa region, known for its extensive date palm groves, historic markets, and traditional architecture.
  • B. Höfats
    Höfats is a strikingly steep and grassy mountain peak in the Allgäu Alps of Bavaria, Germany, renowned for its dramatic slopes and challenging climbs.
  • C. Hurdal
    Hurdal is a rural municipality in Viken county, Norway, known for its forests, lakes, and outdoor recreation areas such as Hurdalssjøen.
  • D. Húsareyn
    Húsareyn is a prominent mountain on the Faroe Islands’ island of Streymoy, known as its highest peak and a notable natural landmark.
  • E. Toftir
    Toftir is a village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and local football culture.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded61d5c8190b13890c964b59949 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ea8f1688190aa36e29b52667d26 completed April 10, 2026, 8:33 p.m.
Created at: April 8, 2026, 7:31 p.m.