Triple

T16699618
Position Surface form Disambiguated ID Type / Status
Subject canton of Algrange E405809 entity
Predicate contains P35 FINISHED
Object Lommerange
Lommerange is a small commune in northeastern France’s Grand Est region, situated in the Moselle department.
E1229333 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: Lommerange | Statement: [canton of Algrange, contains, Lommerange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lommerange
Context triple: [canton of Algrange, contains, Lommerange]
  • A. Lombe
    Lombe is a city located in the Indonesian province of Southeast Sulawesi.
  • B. Brynseng
    Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
  • C. Langenes
    Langenes is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
  • D. Lonnig
    Lonnig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • E. Noghere
    Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
  • 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: Lommerange
Triple: [canton of Algrange, contains, Lommerange]
Generated description
Lommerange is a small commune in northeastern France’s Grand Est region, situated in the Moselle department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lommerange
Target entity description: Lommerange is a small commune in northeastern France’s Grand Est region, situated in the Moselle department.
  • A. Lombe
    Lombe is a city located in the Indonesian province of Southeast Sulawesi.
  • B. Brynseng
    Brynseng is a neighborhood and transport hub in Oslo, Norway, served by the Oslo Metro and other public transit connections.
  • C. Langenes
    Langenes is a small coastal village in the former Vågsøy municipality in Vestland county, western Norway.
  • D. Lonnig
    Lonnig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • E. Noghere
    Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383300d108190911e3cba8e07f2dd completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919ee61c81909928dd26270e9614 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00925fda608190b3674bd5e9ca6bf5 completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00939075d88190a63cdd942eb3fea8 completed May 10, 2026, 2:17 p.m.
Created at: April 10, 2026, 5:19 a.m.