Triple

T675692
Position Surface form Disambiguated ID Type / Status
Subject RER C E13072 entity
Predicate serves P98 FINISHED
Object Pontoise E70703 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: Pontoise | Statement: [RER C, serves, Pontoise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontoise
Context triple: [RER C, serves, Pontoise]
  • A. Pontoise chosen
    Pontoise is a historic commune in the northwestern suburbs of Paris, France, known for its picturesque setting on the River Oise and its association with Impressionist painters.
  • B. Verdun, France
    Verdun, France is a historic northeastern French city on the Meuse River, best known as the site of one of World War I’s largest and bloodiest battles.
  • C. Somme, France
    Somme, France is a department in northern France best known as the site of major World War I battles, including the Battle of the Somme.
  • D. Ermenonville
    Ermenonville is a village in northern France known for its picturesque landscape garden and as the place where philosopher Jean-Jacques Rousseau spent his final days.
  • E. Gouy, Aisne
    Gouy is a commune in the Aisne department of northern France, notable as the area where the Scheldt River has its source.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0266e7c8190a94c4b4b761c59f4 completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a518d6481909500c2941c579153 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:36 p.m.