Triple

T19290530
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Georgescu-Roegen E482426 entity
Predicate placeOfBirth P1 FINISHED
Object Constanța NE NERFINISHED

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: [Nicholas Georgescu-Roegen, placeOfBirth, Constanța]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constanța
Context triple: [Nicholas Georgescu-Roegen, placeOfBirth, 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. Călărași
    Călărași is a city in southeastern Romania, located near the Danube River and serving as the capital of Călărași County.
  • C. Craiova
    Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc05c9dc8190846b279f82ae0fa3 completed April 20, 2026, 10:12 a.m.
Created at: April 10, 2026, 1:30 p.m.