Triple

T10019709
Position Surface form Disambiguated ID Type / Status
Subject Jakarta Mail E200582 entity
Predicate name P16 FINISHED
Object Jakarta Mail E200582 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: Jakarta Mail | Statement: [Jakarta Mail, name, Jakarta Mail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jakarta Mail
Context triple: [Jakarta Mail, name, Jakarta Mail]
  • A. Jakarta Mail chosen
    Jakarta Mail is the Jakarta EE specification that defines a standard API for creating, sending, and receiving email in Java applications.
  • B. Harian Rakjat
    Harian Rakjat was the official newspaper of the Indonesian Communist Party, serving as a key propaganda and information outlet in mid-20th-century Indonesia.
  • C. Warta
    Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
  • D. Utusan Melayu
    Utusan Melayu is a historic Malay-language newspaper that became one of the most influential media voices in Malaya and later Malaysia.
  • E. Asahi Shimbun
    Asahi Shimbun is one of Japan’s largest and oldest national daily newspapers, known for its influential journalism and major sponsorship of cultural and sporting events.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4f3a988190892cc698109be8b8 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aaa38188190aed8c18eccd8a79d completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:53 p.m.