Triple

T1241049
Position Surface form Disambiguated ID Type / Status
Subject Mohammad Al-Amin Mosque E26657 entity
Predicate locatedIn P40 FINISHED
Object downtown Beirut 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: downtown Beirut | Statement: [Mohammad Al-Amin Mosque, locatedIn, downtown Beirut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Beirut
Context triple: [Mohammad Al-Amin Mosque, locatedIn, downtown Beirut]
  • A. Corniche Beirut
    Corniche Beirut is a popular seaside promenade in Beirut known for its Mediterranean views, palm-lined walkway, and vibrant social atmosphere.
  • B. Beirut chosen
    Beirut is the capital and largest city of Lebanon, known as a historic cultural, commercial, and financial hub of the Eastern Mediterranean.
  • C. Nabatieh, Lebanon
    Nabatieh is a predominantly Shia Muslim city in southern Lebanon known as a regional political and commercial center and for its major Ashura commemorations.
  • D. Lebanon metropolitan area
    The Lebanon metropolitan area is a small urban and suburban region in south-central Pennsylvania centered on the city of Lebanon and its surrounding communities.
  • E. Naqoura, Lebanon
    Naqoura, Lebanon is a coastal town in southern Lebanon best known as the base of operations and headquarters for the United Nations peacekeeping mission UNIFIL.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf4343e48190a232abd8475880a0 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93c186fc8190a353c8f0a90ce273 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:47 p.m.