Triple

T664881
Position Surface form Disambiguated ID Type / Status
Subject Ore Mountains E12837 entity
Predicate contains P35 FINISHED
Object Jáchymov
Jáchymov is a historic Czech mining town in the Ore Mountains, known for its silver and uranium mines and for giving its name to the "thaler," a precursor of the dollar.
 E82197 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: Jáchymov | Statement: [Ore Mountains, contains, Jáchymov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jáchymov
Context triple: [Ore Mountains, contains, Jáchymov]
  • A. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • B. Bytča
    Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
  • C. Stará Ľubovňa
    Stará Ľubovňa is a historic town in northern Slovakia known for its medieval castle and open-air museum showcasing traditional folk architecture.
  • D. Pirna
    Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
  • E. Zwönitz
    Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
  • 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: Jáchymov
Triple: [Ore Mountains, contains, Jáchymov]
Generated description
Jáchymov is a historic Czech mining town in the Ore Mountains, known for its silver and uranium mines and for giving its name to the "thaler," a precursor of the dollar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jáchymov
Target entity description: Jáchymov is a historic Czech mining town in the Ore Mountains, known for its silver and uranium mines and for giving its name to the "thaler," a precursor of the dollar.
  • A. Ružomberok
    Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
  • B. Bytča
    Bytča is a small historic town in northwestern Slovakia known for its Renaissance-era castle and role in Slovak national history.
  • C. Stará Ľubovňa
    Stará Ľubovňa is a historic town in northern Slovakia known for its medieval castle and open-air museum showcasing traditional folk architecture.
  • D. Pirna
    Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
  • E. Zwönitz
    Zwönitz is a river in Saxony, Germany, that serves as one of the headstreams of the Chemnitz River.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fd3d8fc8190866af5c76c08f486 completed March 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39abcbc819093797700dc32d25a completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c564d368819082b877f43236d949 completed March 2, 2026, 5:14 p.m.
NED2 Entity disambiguation (via description) batch_69a5cca1851c81908e57e75dc217e517 completed March 2, 2026, 5:45 p.m.
Created at: March 1, 2026, 7:36 p.m.