Triple

T6793644
Position Surface form Disambiguated ID Type / Status
Subject South Limburg E155996 entity
Predicate contains P35 FINISHED
Object Stein
Stein is a municipality in the Dutch province of Limburg, known for its industrial heritage and location along the Meuse River near the Belgian border.
 E619988 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: Stein | Statement: [South Limburg, contains, Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stein
Context triple: [South Limburg, contains, Stein]
  • A. Stein
    Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
  • B. Steinman
    Steinman is a surname most notably associated with David B. Steinman, an influential American civil engineer and bridge designer.
  • C. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. The Man
    "The Man" is a 2017 funk-influenced rock single by American band The Killers, known for its swaggering, self-confident lyrics and bold, retro sound.
  • 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: Stein
Triple: [South Limburg, contains, Stein]
Generated description
Stein is a municipality in the Dutch province of Limburg, known for its industrial heritage and location along the Meuse River near the Belgian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stein
Target entity description: Stein is a municipality in the Dutch province of Limburg, known for its industrial heritage and location along the Meuse River near the Belgian border.
  • A. Stein
    Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
  • B. Steinman
    Steinman is a surname most notably associated with David B. Steinman, an influential American civil engineer and bridge designer.
  • C. Stange
    Stange is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and proximity to the town of Hamar.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. The Man
    The Man is a film featuring actor Richard Gant in a significant role.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2af6f908190809e39b73894e513 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a90dfb081909120e8502b26a88b completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b88b27c8190b803f0e9f6402c44 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c91e08c81908be81efc2087464a completed March 28, 2026, 12:10 a.m.
Created at: March 27, 2026, 2:15 p.m.