Triple

T16723791
Position Surface form Disambiguated ID Type / Status
Subject Jabal al-Lawz E406415 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Tabuk E374779 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: Tabuk | Statement: [Jabal al-Lawz, hasNearbySettlement, Tabuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabuk
Context triple: [Jabal al-Lawz, hasNearbySettlement, Tabuk]
  • A. Tabuk chosen
    Tabuk is a city in northwestern Saudi Arabia known as the capital of the Tabuk Region and a growing hub for trade and development projects.
  • B. Tabuk
    Tabuk is a city in the Cordillera Administrative Region of the Philippines that serves as the political and economic center of Kalinga province.
  • C. Ghawwas
    Ghawwas is a notable poet associated with the Dakhni (Deccani) literary tradition of South Asia.
  • D. Tabuk Region
    Tabuk Region is an administrative area in northwestern Saudi Arabia known for its strategic location near the borders with Jordan and the Red Sea, as well as its growing role in tourism and development projects.
  • E. Al Bahah
    Al Bahah is a city in southwestern Saudi Arabia known for its mild climate, forests, and mountainous landscapes that make it a popular domestic tourist destination.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38745d2048190b476e5aa83ec7fec completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb04c1e88190b6c9f43fbdfd6bc4 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:20 a.m.