Triple

T9421192
Position Surface form Disambiguated ID Type / Status
Subject Prime Minister of Lebanon E227154 entity
Predicate residence P75 FINISHED
Object Grand Serail E587707 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: Grand Serail | Statement: [Prime Minister of Lebanon, residence, Grand Serail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Serail
Context triple: [Prime Minister of Lebanon, residence, Grand Serail]
  • A. Grand Serail chosen
    The Grand Serail is the historic Ottoman-era government palace in central Beirut that serves as the headquarters of the Prime Minister of Lebanon.
  • B. Dar El Salam
    Dar El Salam is a town located in Egypt’s Sohag Governorate along the Nile in Upper Egypt.
  • C. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • D. Dongola
    Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
  • E. Safaga
    Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2528c8819087b0a21e703254b7 completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107c95c9481909957b99cacf5e045 completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:48 p.m.