Triple

T34132771
Position Surface form Disambiguated ID Type / Status
Subject Xhendremael E875472 entity
Predicate nearbyMilitaryStructure P15652 FINISHED
Object Fort de Xhendremael
Fort de Xhendremael is a Belgian fort near Liège that formed part of the defensive ring built in the late 19th century to protect the city.
 E2085189 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: Fort de Xhendremael | Statement: [Xhendremael, nearbyMilitaryStructure, Fort de Xhendremael]
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: Fort de Xhendremael
Triple: [Xhendremael, nearbyMilitaryStructure, Fort de Xhendremael]
Generated description
Fort de Xhendremael is a Belgian fort near Liège that formed part of the defensive ring built in the late 19th century to protect the city.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nearbyMilitaryStructure
Context triple: [Xhendremael, nearbyMilitaryStructure, Fort de Xhendremael]
  • A. nearMilitaryInstallation chosen
    Indicates that one entity is located in close physical proximity to a military installation or facility.
  • B. hasFormerMilitaryInstallationNearby
    Indicates that an entity is located close to a site where a military installation previously existed but is no longer active.
  • C. militaryBaseVenue
    Indicates that an event or activity takes place at, or is hosted by, a military base as its venue.
  • D. partOfMilitaryStructure
    Indicates that one entity is a component, unit, or subdivision within the organizational hierarchy of a military structure.
  • E. nearestNavalInstallation
    Indicates that one entity is the closest naval installation in distance or proximity to another specified location or 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_69f349aa33848190a2e6c5e4533c8444 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe6739d4dc8190ae7505c089bbac29 completed May 8, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36cc72739081908da7ca94ad96d17a completed June 20, 2026, 5:22 p.m.
NEDg Description generation batch_6a36cd459d308190b392db0c0f0a6a0a completed June 20, 2026, 5:26 p.m.
NED2 Entity disambiguation (via description) batch_6a36cdcfa9048190a616290bd685e0d3 completed June 20, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69fe6541dffc81909c66a61ba69f38fc completed May 8, 2026, 10:35 p.m.
Created at: May 1, 2026, 1:53 a.m.