Triple

T15518008
Position Surface form Disambiguated ID Type / Status
Subject Assembly of Vlorë E368882 entity
Predicate location P40 FINISHED
Object Vlorë E111395 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: Vlorë | Statement: [Assembly of Vlorë, location, Vlorë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlorë
Context triple: [Assembly of Vlorë, location, Vlorë]
  • A. Vlora chosen
    Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
  • B. Korçë
    Korçë is a city in southeastern Albania known as a cultural and educational center with rich Orthodox Christian heritage and historic architecture.
  • C. Lezhë
    Lezhë is a historic town in northwestern Albania, known as the site of the League of Lezhë and for its cultural and archaeological heritage.
  • D. Gjirokastër
    Gjirokastër is a historic stone-built city in southern Albania, recognized as a UNESCO World Heritage Site for its well-preserved Ottoman-era architecture.
  • E. Durrës
    Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e040343d9c8190a7d1f197c108bd9d completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8759922c8190ae5a5700e3ecc87c completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:03 a.m.