Triple

T2845757
Position Surface form Disambiguated ID Type / Status
Subject Latakia E62578 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object Lattakia E62578 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: Lattakia | Statement: [Latakia, vehicleRegistrationCode, Lattakia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lattakia
Context triple: [Latakia, vehicleRegistrationCode, Lattakia]
  • A. Latakia chosen
    Latakia is a major port city on Syria's Mediterranean coast and an important economic and cultural center for the country.
  • B. Tartus
    Tartus is a major Syrian port city on the Mediterranean coast that hosts Russia’s only naval facility outside the former Soviet Union.
  • 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. Antakya
    Antakya is a city in southern Turkey, historically known as Antioch, renowned as an important center of Hellenistic, Roman, and early Christian civilization.
  • E. 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.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf3d00708190966a477fdd855f23 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d7c84e8819098089bd1c6874189 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:02 p.m.