Triple

T2210128
Position Surface form Disambiguated ID Type / Status
Subject École navale E50894 entity
Predicate locatedIn P40 FINISHED
Object Lanvéoc-Poulmic
Lanvéoc-Poulmic is a French naval air base and coastal area in Brittany best known as the site of France’s École navale (Naval Academy).
 E246429 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: Lanvéoc-Poulmic | Statement: [École navale, locatedIn, Lanvéoc-Poulmic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lanvéoc-Poulmic
Context triple: [École navale, locatedIn, Lanvéoc-Poulmic]
  • A. Hennebont
    Hennebont is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval ramparts and cultural heritage.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Alès
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • 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: Lanvéoc-Poulmic
Triple: [École navale, locatedIn, Lanvéoc-Poulmic]
Generated description
Lanvéoc-Poulmic is a French naval air base and coastal area in Brittany best known as the site of France’s École navale (Naval Academy).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lanvéoc-Poulmic
Target entity description: Lanvéoc-Poulmic is a French naval air base and coastal area in Brittany best known as the site of France’s École navale (Naval Academy).
  • A. Hennebont
    Hennebont is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval ramparts and cultural heritage.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Alès
    Alès is a historic industrial town in southern France, located at the foot of the Cévennes mountains.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfce5abc8190b90b92e32045385d completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af84b708190ac3170a343eb107f completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6b31eccc81908fbcc80f72e65df8 completed March 9, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69ae6bd2856c81909033efe74039c258 completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:46 p.m.