Triple

T8041326
Position Surface form Disambiguated ID Type / Status
Subject Bkerké E187446 entity
Predicate locatedNear P294 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: [Bkerké, locatedNear, Jounieh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jounieh
Context triple: [Bkerké, locatedNear, 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 southern suburbs
    Beirut southern suburbs is a predominantly Shia, densely populated area of Beirut known as a stronghold of Hezbollah and a focal point of Lebanon’s political and security dynamics.
  • D. 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.
  • E. 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.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f1e98508190a29a7bb5055f8ba0 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cdecc88190beac3976e7c47114 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:23 p.m.