Triple

T33732496
Position Surface form Disambiguated ID Type / Status
Subject Münster im Elsass E864308 entity
Predicate liegtInGebirge P24755 FINISHED
Object Vogesen
Die Vogesen sind ein Mittelgebirge im Osten Frankreichs, das sich entlang der Grenze zu Deutschland erstreckt und für seine bewaldeten Höhenzüge, Burgruinen und Kurorte bekannt ist.
 E2066064 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: Vogesen | Statement: [Münster im Elsass, liegtInGebirge, Vogesen]
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: Vogesen
Triple: [Münster im Elsass, liegtInGebirge, Vogesen]
Generated description
Die Vogesen sind ein Mittelgebirge im Osten Frankreichs, das sich entlang der Grenze zu Deutschland erstreckt und für seine bewaldeten Höhenzüge, Burgruinen und Kurorte bekannt ist.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: liegtInGebirge
Context triple: [Münster im Elsass, liegtInGebirge, Vogesen]
  • A. locatedInMountain
    Indicates that something is situated within, on, or as part of a mountain.
  • B. locatedInMountainRangeRegion chosen
    Indicates that a place or geographic entity is situated within the area covered by a specific mountain range.
  • C. locatedInHills
    Indicates that something is situated within or among hilly terrain or a region characterized by hills.
  • D. isInValleyOrMountainRegion
    Indicates that an entity is located within either a valley area or a mountainous region.
  • E. hasMountainousTerrain
    Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
  • 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_69f3498a64cc8190b4b414c67b280d93 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a365c7f93c08190a76890d51f4e13bd completed June 20, 2026, 9:25 a.m.
NEDg Description generation batch_6a365dcf9e188190984b5728842ec459 completed June 20, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_6a365f8e761c819088a969d0180fb5e7 completed June 20, 2026, 9:38 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:44 a.m.