Triple

T1887012
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 1 E39985 entity
Predicate servesLandmark P7126 FINISHED
Object Nation E65648 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: Nation | Statement: [Paris Métro Line 1, servesLandmark, Nation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nation
Context triple: [Paris Métro Line 1, servesLandmark, Nation]
  • A. Nation chosen
    Nation is a major public square and transportation hub in eastern Paris, France, known for its large roundabout, prominent monuments, and busy metro and RER interchange.
  • B. National
    National is a major centre-right political party in New Zealand, formally known as the New Zealand National Party.
  • C. Nacional
    Nacional is a news section of the Colombian newspaper El Espectador that focuses on national-level events and issues.
  • D. Nacional
    Nacional is a character in the 1922 silent drama film "Blood and Sand," which centers on the rise and fall of a celebrated Spanish bullfighter.
  • E. The Nation
    The Nation is a long-running American progressive magazine known for its in-depth political commentary, investigative journalism, and cultural criticism.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb121a3cc81909c60ac65627142d1 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf63863881908efd8010db14b8a8 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.