Triple

T38134863
Position Surface form Disambiguated ID Type / Status
Subject Black Sea ports E952320 entity
Predicate areConnectedTo P58112 FINISHED
Object Mediterranean Sea via Bosporus Strait LITERAL 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: Mediterranean Sea via Bosporus Strait | Statement: [Black Sea ports, areConnectedTo, Mediterranean Sea via Bosporus Strait]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: areConnectedTo
Context triple: [Black Sea ports, areConnectedTo, Mediterranean Sea via Bosporus Strait]
  • A. connectsTo
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • B. plannedToBeConnectedTo
    Indicates that one entity is intended or scheduled to be linked or joined with another entity in the future.
  • C. partlyConnectedBy
    Indicates that two entities are linked or joined by something in an incomplete, partial, or not fully continuous way.
  • D. formerlyConnectedTo
    Indicates that two entities were once connected or associated in some way, but that connection no longer exists.
  • E. connectedByStraitTo chosen
    Indicates that one entity is geographically linked to another by a narrow body of water known as a strait.
  • F. None of above.

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_69f76f09a7148190a4b91c0bacdc127a completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcb089a8f881909aa9e722babd43f7 completed May 7, 2026, 3:32 p.m.
PD Predicate disambiguation batch_69fc45666c5c8190913bd632ac0e5b84 completed May 7, 2026, 7:55 a.m.
Created at: May 3, 2026, 4:21 p.m.