Triple

T7593154
Position Surface form Disambiguated ID Type / Status
Subject صخور الروشة E179789 entity
Predicate locatedIn P40 FINISHED
Object بيروت E4667 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: بيروت | Statement: [صخور الروشة, locatedIn, بيروت]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: بيروت
Context triple: [صخور الروشة, locatedIn, بيروت]
  • A. Beirut chosen
    Beirut is the capital and largest city of Lebanon, known as a historic cultural, commercial, and financial hub of the Eastern Mediterranean.
  • B. East Beirut
    East Beirut is the predominantly Christian, historically Phalange-aligned sector of Lebanon’s capital that served as a key stronghold during the Lebanese Civil War.
  • C. Greater Beirut
    Greater Beirut is the densely populated metropolitan area surrounding Lebanon’s capital, encompassing Beirut and its adjacent suburbs as the country’s primary urban, economic, and cultural hub.
  • D. Damascus
    Damascus is the capital and one of the largest cities of Syria, renowned as one of the oldest continuously inhabited cities in the world and a historic cultural and commercial center of the Arab world.
  • E. Tartus
    Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b92c348190b547f0aacfb8d6be completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86843a7808190a4c1d3c33a7441ed completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:53 p.m.