Triple

T7255702
Position Surface form Disambiguated ID Type / Status
Subject Black Sea coast E157716 entity
Predicate hasMajorPort P942 FINISHED
Object Constanța E40914 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: Constanța | Statement: [Black Sea coast, hasMajorPort, Constanța]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constanța
Context triple: [Black Sea coast, hasMajorPort, Constanța]
  • A. Constanța chosen
    Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
  • B. Craiova
    Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
  • C. Galați
    Galați is a major Romanian port city in eastern Romania, situated near the border with Moldova and known for its shipbuilding and steel industries.
  • D. Tulcea
    Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural center.
  • E. Brăila
    Brăila is a major port city on the Danube River in eastern Romania, known historically as an important commercial and industrial center.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6eaa0c76c81909fe43ed6938a13ea completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eaf59988190a656dae4e588c496 completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 2:56 p.m.