Triple

T12877894
Position Surface form Disambiguated ID Type / Status
Subject Leipzig metropolitan region E308012 entity
Predicate containsCity P294 FINISHED
Object Hirschstein
Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
E1010423 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: Hirschstein | Statement: [Leipzig metropolitan region, containsCity, Hirschstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirschstein
Context triple: [Leipzig metropolitan region, containsCity, Hirschstein]
  • A. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • B. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • C. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Kaltenborn
    Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
  • E. Guldenthaler
    Guldenthaler is a historical gold coin variant of the thaler used in parts of Europe.
  • 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: Hirschstein
Triple: [Leipzig metropolitan region, containsCity, Hirschstein]
Generated description
Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hirschstein
Target entity description: Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
  • A. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • B. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • C. Hohberg
    Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • D. Kaltenborn
    Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
  • E. Guldenthaler
    Guldenthaler is a historical gold coin variant of the thaler used in parts of Europe.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fa8474819086a8af3c90f3ca84 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af55623081909fd171129f439302 completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:38 p.m.