Triple

T9007381
Position Surface form Disambiguated ID Type / Status
Subject Genoese Lighthouse E215377 entity
Predicate hasView P854 FINISHED
Object Constanța harbor E770777 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 harbor | Statement: [Genoese Lighthouse, hasView, Constanța harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Constanța harbor
Context triple: [Genoese Lighthouse, hasView, Constanța harbor]
  • A. Port of Constanța chosen
    The Port of Constanța is Romania’s largest seaport and a major Black Sea maritime hub for cargo, trade, and transportation.
  • B. Constanța Naval Base
    Constanța Naval Base is the main maritime military installation of Romania, serving as the central hub for its naval operations on the Black Sea.
  • C. Constanța
    Constanța is a major Romanian coastal city and one of the largest and most important ports on the Black Sea.
  • 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. Port of Burgas
    The Port of Burgas is Bulgaria’s largest seaport on the Black Sea, serving as a major regional hub for cargo, industry, and maritime transport.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69bdc5fc819081015f4adacf9fd4 completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffda389988190beb6b6ea9352efcc completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:05 p.m.