Triple

T10775573
Position Surface form Disambiguated ID Type / Status
Subject Place Jussieu E254187 entity
Predicate near P350 FINISHED
Object Place Monge E254186 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: Place Monge | Statement: [Place Jussieu, near, Place Monge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Place Monge
Context triple: [Place Jussieu, near, Place Monge]
  • A. Place Monge chosen
    Place Monge is a small Parisian square in the Latin Quarter known for its local market and proximity to historic and academic landmarks.
  • B. La Mongie
    La Mongie is a French Pyrenean ski resort village known as a gateway to the Pic du Midi de Bigorre and its observatory.
  • C. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • D. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • E. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329cc6c881908f827edff941d456 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238559b48190abc759e744ab0f8e completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.