Triple

T22734268
Position Surface form Disambiguated ID Type / Status
Subject Sulawesi trade networks E562221 entity
Predicate hasKeyPort P104217 FINISHED
Object Wajo 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: Wajo | Statement: [Sulawesi trade networks, hasKeyPort, Wajo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wajo
Context triple: [Sulawesi trade networks, hasKeyPort, Wajo]
  • A. Wajo chosen
    Wajo was a historical kingdom and trading polity in what is now South Sulawesi, Indonesia, known for its influential Bugis culture and maritime commerce.
  • B. Kahama
    Kahama is a town and district-level administrative center in northwestern Tanzania known for its mining activities and role as a commercial hub in the Shinyanga area.
  • C. Ginowan
    Ginowan is a coastal city in Okinawa Prefecture, Japan, known for hosting part of the U.S. Marine Corps' Camp Foster and its proximity to other major urban centers on Okinawa Island.
  • D. Takashima
    Takashima is a lakeside city in western Shiga Prefecture, Japan, known for its scenic location along Lake Biwa and surrounding mountains.
  • E. Takashima
    Takashima is a prominent commercial and waterfront district in Nishi-ku, Yokohama, known for major shopping complexes and modern urban development.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796e4970819090fb9c9926673938 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:22 p.m.