Triple

T3516133
Position Surface form Disambiguated ID Type / Status
Subject Banjarmasin E74310 entity
Predicate locatedNear P294 FINISHED
Object Java Sea E23517 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: Java Sea | Statement: [Banjarmasin, locatedNear, Java Sea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Java Sea
Context triple: [Banjarmasin, locatedNear, Java Sea]
  • A. Java Sea chosen
    The Java Sea is a shallow, tropical marginal sea in Indonesia, lying between the islands of Java and Borneo and known for its busy shipping routes and rich marine biodiversity.
  • B. SEAS
    SEAS is the University of Pennsylvania’s engineering and applied science school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, and mechanical engineering.
  • C. SEAS
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • D. SEAS
    SEAS is an abbreviation commonly used to refer to the Seattle Aquarium, a major public aquarium and marine conservation institution located on the waterfront in Seattle, Washington.
  • E. SavU Sea
    The Savu Sea is a small sea in the western Pacific Ocean, located between the Indonesian islands of Sumba, Timor, and Flores, known for its deep waters and rich marine biodiversity.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc31c0688190a890621a901f5f5f completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb809d288190b4904b292fe9a627 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:19 p.m.