Triple

T7264510
Position Surface form Disambiguated ID Type / Status
Subject Mount Lebanon Governorate E159736 entity
Predicate hasMajorCity P316 FINISHED
Object Jounieh E297018 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: Jounieh | Statement: [Mount Lebanon Governorate, hasMajorCity, Jounieh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jounieh
Context triple: [Mount Lebanon Governorate, hasMajorCity, Jounieh]
  • A. Jounieh chosen
    Jounieh is a coastal city in Lebanon known for its seaside resorts, vibrant nightlife, and proximity to the historic pilgrimage site of Harissa.
  • B. Jbeil
    Jbeil is a coastal city in Lebanon widely recognized as one of the world’s oldest continuously inhabited settlements and a major archaeological and tourist destination.
  • C. Beirut Governorate
    Beirut Governorate is the smallest and most populous of Lebanon’s governorates, encompassing the capital city of Beirut as its sole district and administrative center.
  • D. 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.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eae50e008190a660925074077344 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810bb0d808190b6ade5592fce2c15 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 2:57 p.m.