Triple

T8457359
Position Surface form Disambiguated ID Type / Status
Subject Vavin E199952 entity
Predicate hasFareSystem P395 FINISHED
Object Navigo E227653 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: Navigo | Statement: [Vavin, hasFareSystem, Navigo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navigo
Context triple: [Vavin, hasFareSystem, Navigo]
  • A. Navigo chosen
    Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
  • B. Taganga
    Taganga is a small fishing village and popular backpacker destination on Colombia’s Caribbean coast, known for its beaches, diving, and proximity to Tayrona National Natural Park.
  • C. Navadvip
    Navadvip is a historic town in West Bengal, India, renowned as a major center of Gaudiya Vaishnavism and the birthplace of the saint Chaitanya Mahaprabhu.
  • D. Miaoulis
    Miaoulis is a Greek surname most famously associated with Admiral Andreas Miaoulis, a key naval leader in the Greek War of Independence.
  • E. Outremer
    Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48f180c8190a71cf9d7248ade60 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39caf4bc8190a1850b2124684a2a completed April 2, 2026, 9:41 a.m.
Created at: March 30, 2026, 6:10 p.m.