Triple

T5905539
Position Surface form Disambiguated ID Type / Status
Subject Suica E131332 entity
Predicate compatibleWith P203 FINISHED
Object manaca E355486 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: manaca | Statement: [Suica, compatibleWith, manaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: manaca
Context triple: [Suica, compatibleWith, manaca]
  • A. manaca chosen
    manaca is a rechargeable contactless smart card used for public transportation and electronic payments in the Nagoya area of Japan.
  • B. MaNa
    MaNa is a professional StarCraft II player known for competing at the highest levels of international esports tournaments.
  • C. Renca
    Renca is a commune and urban area in the Santiago Metropolitan Region of Chile, known for its residential neighborhoods and proximity to central Santiago.
  • D. Manises
    Manises is a town in Spain’s Valencian Community, known for its historic ceramics industry and proximity to Valencia.
  • E. Nakanamanga
    Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0377159f88190a142cd7eed6118c1 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b16ba6c881908e9a909bf86ea92d completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.