Triple

T9088911
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro line 12 E217827 entity
Predicate notableStation P3858 FINISHED
Object Abbesses E274518 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: Abbesses | Statement: [Paris Métro line 12, notableStation, Abbesses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abbesses
Context triple: [Paris Métro line 12, notableStation, Abbesses]
  • A. Abbesses chosen
    Abbesses is a Paris Métro station in Montmartre, known for its deep underground platforms and iconic Art Nouveau entrance designed by Hector Guimard.
  • B. Mother Abbess
    Mother Abbess is the wise and compassionate head of the abbey who guides Maria in the classic musical film "The Sound of Music."
  • C. Abbeyé
    Abbeyé is an alternative name for the Abé language, a Kwa language spoken primarily in Côte d'Ivoire.
  • D. Abbey Blanche
    Abbey Blanche is a historic Cistercian abbey located in Mortain in the Normandy region of France.
  • E. Visitandine nuns
    Visitandine nuns are members of the Roman Catholic Order of the Visitation of Holy Mary, a contemplative female religious community founded in the 17th century and known for its emphasis on humility, gentleness, and interior devotion.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9657d48081909e0ae0f1fa8ff599 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017e0d3cc8190b3e92b0a8f18489f completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.