Triple

T3804725
Position Surface form Disambiguated ID Type / Status
Subject Yanbu E91777 entity
Predicate alternativeName P39 FINISHED
Object Yanbuʿ al-Baḥr E91777 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: Yanbuʿ al-Baḥr | Statement: [Yanbu, alternativeName, Yanbuʿ al-Baḥr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanbuʿ al-Baḥr
Context triple: [Yanbu, alternativeName, Yanbuʿ al-Baḥr]
  • A. Yanbu chosen
    Yanbu is a coastal city in western Saudi Arabia on the Red Sea, known as an industrial and port hub in the Medina Province.
  • B. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • C. Qatif port
    Qatif port is an ancient maritime hub on the coast of Eastern Arabia that historically served as a key center for regional trade and pearl diving in the Persian Gulf.
  • D. Ras Tanura
    Ras Tanura is a major Saudi Arabian oil port and industrial city on the Persian Gulf, known for its large oil refinery and export facilities.
  • E. El Sebaia
    El Sebaia is a town in Egypt’s Aswan Governorate, situated along the Nile in the country’s far south.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bc240881909e91b7b99403a13c completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb2a5af481908d69e1a88eb80d84 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:15 p.m.