Triple

T20780953
Position Surface form Disambiguated ID Type / Status
Subject Port of Dammam E511477 entity
Predicate near P350 FINISHED
Object Dhahran NE NERFINISHED

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: Dhahran | Statement: [Port of Dammam, near, Dhahran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhahran
Context triple: [Port of Dammam, near, Dhahran]
  • A. Dhahran chosen
    Dhahran is a major city in Saudi Arabia’s Eastern Province known for its role as a center of the country’s oil industry and the headquarters of Saudi Aramco.
  • B. Dammam
    Dammam is a major Saudi Arabian city and commercial hub on the eastern coast, serving as a key center for the country’s oil industry and maritime trade.
  • C. Jubail
    Jubail is a major industrial and port city on Saudi Arabia’s eastern coast, known for its large petrochemical complexes and strategic maritime facilities.
  • D. Al-Ahsa
    Al-Ahsa is a historic oasis region in eastern Saudi Arabia known for its extensive date palm groves and status as one of the world's largest natural oases.
  • E. Tabuk
    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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c287b5288190823766fe59402d48 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:37 p.m.