Triple

T15879106
Position Surface form Disambiguated ID Type / Status
Subject Akkō E385026 entity
Predicate hasPart P35 FINISHED
Object Acre Port E947155 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: Acre Port | Statement: [Akkō, hasPart, Acre Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acre Port
Context triple: [Akkō, hasPart, Acre Port]
  • A. Acre port chosen
    Acre port is a historic Mediterranean harbor in the city of Acre (Akko) in present-day Israel, long significant as a strategic maritime gateway for trade and military campaigns.
  • B. Mwanza Port
    Mwanza Port is a major Tanzanian inland port on Lake Victoria that serves as a key hub for regional transport and trade in the Mwanza area.
  • C. Acre harbor
    Acre harbor is the historic port of the ancient city of Acre (Akko) on Israel’s Mediterranean coast, long serving as a strategic maritime hub for trade and naval activity.
  • D. Onsan Port
    Onsan Port is a major industrial seaport in Ulsan, South Korea, serving as a key logistics hub for nearby heavy and petrochemical industries.
  • E. Lindi Port
    Lindi Port is a coastal seaport in southeastern Tanzania that serves as a regional maritime hub for the Lindi area on the Indian Ocean.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59f979c8190826e35a16e295704 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:51 a.m.