Triple

T12690053
Position Surface form Disambiguated ID Type / Status
Subject Bassel Al-Assad International Airport E303176 entity
Predicate locatedNorthOf P305 FINISHED
Object Tartus E27740 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: Tartus | Statement: [Bassel Al-Assad International Airport, locatedNorthOf, Tartus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tartus
Context triple: [Bassel Al-Assad International Airport, locatedNorthOf, Tartus]
  • A. Tartus chosen
    Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
  • B. Latakia
    Latakia is a major port city on Syria's Mediterranean coast and an important economic and cultural center for the country.
  • C. Aleppo
    Aleppo is an ancient and historically significant city in northern Syria, renowned for its rich cultural heritage, medieval architecture, and role as a major trading hub along the Silk Road.
  • D. Port of Latakia
    Port of Latakia is Syria’s principal seaport on the Mediterranean, serving as a major hub for the country’s maritime trade and cargo traffic.
  • E. Anamur
    Anamur is a coastal town and district in southern Turkey known for its banana production and historic Mamure Castle.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961dabb38819087738361f9de8066 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ea02e08190b3be1fdfe86b4ee5 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 5:21 p.m.