Triple

T564695
Position Surface form Disambiguated ID Type / Status
Subject Place Masséna E13527 entity
Predicate connectsWith P37 FINISHED
Object Rue Gioffredo E70465 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: Rue Gioffredo | Statement: [Place Masséna, connectsWith, Rue Gioffredo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rue Gioffredo
Context triple: [Place Masséna, connectsWith, Rue Gioffredo]
  • A. Rue André Pascal
    Rue André Pascal is a street in Paris, France, known for hosting important institutions such as the Château de la Muette and the headquarters of the OECD.
  • B. Rue de Rennes
    Rue de Rennes is a major shopping and thoroughfare street in Paris’s 6th arrondissement, linking the Saint-Germain-des-Prés area to the Montparnasse district on the Left Bank.
  • C. Avenue Jean Médecin chosen
    Avenue Jean Médecin is one of the main shopping and transit thoroughfares in central Nice, France, lined with stores, cafés, and key urban landmarks.
  • D. Rue de Dunkerque
    Rue de Dunkerque is a major street in Paris’s 10th arrondissement, best known for running alongside and providing access to the Gare du Nord railway station.
  • E. Boulevard Saint‑Germain
    Boulevard Saint‑Germain is a major Parisian thoroughfare famed for its historic cafés, intellectual and literary heritage, and elegant Haussmann-era architecture on the Left Bank.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a735b2881908293ad21ad41cdd6 completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4efcf05b88190a0fc2f2e86834248 completed March 2, 2026, 2:02 a.m.
Created at: March 1, 2026, 7:32 p.m.