Triple

T9495216
Position Surface form Disambiguated ID Type / Status
Subject Wagria E228986 entity
Predicate contains P35 FINISHED
Object Göhl
Göhl is a small municipality in the Ostholstein district of Schleswig-Holstein in northern Germany.
 E803433 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: Göhl | Statement: [Wagria, contains, Göhl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Göhl
Context triple: [Wagria, contains, Göhl]
  • A. Gerlosbach
    Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
  • B. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Bernlohe
    Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
  • E. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • 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: Göhl
Triple: [Wagria, contains, Göhl]
Generated description
Göhl is a small municipality in the Ostholstein district of Schleswig-Holstein in northern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Göhl
Target entity description: Göhl is a small municipality in the Ostholstein district of Schleswig-Holstein in northern Germany.
  • A. Gerlosbach
    Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
  • B. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • C. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • D. Bernlohe
    Bernlohe is a village-level district that forms part of the town of Roth in Bavaria, Germany.
  • E. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95eb87b081908fc7255598cd9a24 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a0331e08190b42df462c50e1f44 completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13ac6f1588190aeed532a0e2b9a68 completed April 4, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69d13b3ab700819081cdb79450410b97 completed April 4, 2026, 4:24 p.m.
Created at: March 30, 2026, 7:56 p.m.