Triple

T32073472
Position Surface form Disambiguated ID Type / Status
Subject Force de frappe E819077 entity
Predicate formerLandBasedSite P126626 FINISHED
Object Plateau d'Albion
Plateau d'Albion is a high limestone plateau in southeastern France that historically hosted the country’s main land-based nuclear missile silos and is now used for astronomical and military installations.
 E1991613 NE FINISHED

How this triple was built (3 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: Plateau d'Albion | Statement: [Force de frappe, formerLandBasedSite, Plateau d'Albion]
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: Plateau d'Albion
Triple: [Force de frappe, formerLandBasedSite, Plateau d'Albion]
Generated description
Plateau d'Albion is a high limestone plateau in southeastern France that historically hosted the country’s main land-based nuclear missile silos and is now used for astronomical and military installations.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formerLandBasedSite
Context triple: [Force de frappe, formerLandBasedSite, Plateau d'Albion]
  • A. formerSiteOf
    Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
  • B. formerMilitaryBase chosen
    Indicates that a location was previously used as a military base but no longer serves that function.
  • C. formerLandBasedMissile
    Indicates that something was previously a land-based missile but no longer holds that status.
  • D. wasLandingSiteOf
    Indicates that a location served as the site where a landing event (such as a spacecraft, aircraft, or vehicle) took place.
  • E. wasLandingSiteIn
    Indicates that a specific landing event occurred at or within the location denoted by the related entity.
  • F. None of above.

Provenance (6 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_69f348fecc088190af1470afe5a969f0 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff63e6b61081909c648bf0ff279481 completed May 9, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2edde7555c81909e181aed708ad4fd completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ede8d1d748190ac4f0ed7ac37ba90 completed June 14, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_6a2edf2f49048190869080a3d70f4434 completed June 14, 2026, 5:04 p.m.
PD Predicate disambiguation batch_69ff6381867881908ae0545df4b71df5 completed May 9, 2026, 4:40 p.m.
Created at: May 1, 2026, 12:23 a.m.