Triple

T7574534
Position Surface form Disambiguated ID Type / Status
Subject Palapa B2 E179327 entity
Predicate followedBy P78 FINISHED
Object Palapa B3 E673865 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: Palapa B3 | Statement: [Palapa B2, followedBy, Palapa B3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palapa B3
Context triple: [Palapa B2, followedBy, Palapa B3]
  • A. Palapa B series chosen
    The Palapa B series was a generation of Indonesian communications satellites used to expand the country’s domestic and regional telecommunications network in the 1980s and 1990s.
  • B. Panjalu
    Panjalu was a historical Javanese kingdom that emerged as a major political power in eastern Java following the decline of Kahuripan.
  • C. Opañel
    Opañel is a Madrid Metro station serving the Carabanchel district in Spain.
  • D. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • E. Plaosan Kidul
    Plaosan Kidul is the southern group of ancient Buddhist temples within the Plaosan complex near Prambanan in Central Java, Indonesia, noted for its intricate stone carvings and twin shrine layout.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f948e1e08190ad807292365a0c27 completed March 27, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8683baa248190964922e0add0b697 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:51 p.m.