Triple

T5916491
Position Surface form Disambiguated ID Type / Status
Subject Haute-Marne E131592 entity
Predicate contains P35 FINISHED
Object Nogent
Nogent is a commune in northeastern France located within the Haute-Marne department in the Grand Est region.
E557423 NE FINISHED

How this triple was built (4 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: Nogent | Statement: [Haute-Marne, contains, Nogent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nogent
Context triple: [Haute-Marne, contains, Nogent]
  • A. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • B. Nogent-sur-Seine
    Nogent-sur-Seine is a commune in north-central France known for its riverside setting on the Seine and its proximity to the Nogent-sur-Seine Nuclear Power Plant.
  • C. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • D. Charpennes
    Charpennes is a prominent urban district in the Lyon metropolitan area, known for its major transport hub and dense residential and commercial activity.
  • E. Étiolles
    Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nogent
Triple: [Haute-Marne, contains, Nogent]
Generated description
Nogent is a commune in northeastern France located within the Haute-Marne department in the Grand Est region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nogent
Target entity description: Nogent is a commune in northeastern France located within the Haute-Marne department in the Grand Est region.
  • A. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • B. Nogent-sur-Seine
    Nogent-sur-Seine is a commune in north-central France known for its riverside setting on the Seine and its proximity to the Nogent-sur-Seine Nuclear Power Plant.
  • C. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater Paris metropolitan area.
  • D. Charpennes
    Charpennes is a prominent urban district in the Lyon metropolitan area, known for its major transport hub and dense residential and commercial activity.
  • E. Étiolles
    Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
  • F. None of above. chosen

Provenance (5 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c037bcea9c8190a34dc03857e3b80b completed March 22, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c02c24cc8190a98d24f7445f59b7 completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c19665b08190ab3c66b7c6c33f61 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c4576824819080ced71df8fdda6c completed March 23, 2026, 4:40 a.m.
Created at: March 22, 2026, 3:59 p.m.