Triple

T22713059
Position Surface form Disambiguated ID Type / Status
Subject Germans in Hungary E561651 entity
Predicate notableSettlement P13187 FINISHED
Object Harta
Harta is a Hungarian town known for its significant ethnic German community and cultural heritage.
E1551173 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: Harta | Statement: [Germans in Hungary, notableSettlement, Harta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harta
Context triple: [Germans in Hungary, notableSettlement, Harta]
  • A. Harahan
    Harahan is a small suburban city in the Greater New Orleans area of Louisiana, known for its residential character and proximity to the Mississippi River.
  • B. Hageri
    Hageri is a small village located in Rapla County in western Estonia.
  • C. Briland
    Briland is the local nickname for Harbour Island, a small Bahamian island known for its pink sand beaches and charming colonial-style town.
  • D. Hartaval
    Hartaval is a prominent hill on the Trotternish Ridge on the Isle of Skye in Scotland, known for its striking cliffs and panoramic coastal views.
  • E. Hauran
    Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
  • 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: Harta
Triple: [Germans in Hungary, notableSettlement, Harta]
Generated description
Harta is a Hungarian town known for its significant ethnic German community and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harta
Target entity description: Harta is a Hungarian town known for its significant ethnic German community and cultural heritage.
  • A. Harahan
    Harahan is a small suburban city in the Greater New Orleans area of Louisiana, known for its residential character and proximity to the Mississippi River.
  • B. Hageri
    Hageri is a small village located in Rapla County in western Estonia.
  • C. Briland
    Briland is the local nickname for Harbour Island, a small Bahamian island known for its pink sand beaches and charming colonial-style town.
  • D. Hartaval
    Hartaval is a prominent hill on the Trotternish Ridge on the Isle of Skye in Scotland, known for its striking cliffs and panoramic coastal views.
  • E. Hauran
    Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790ab6208190a342f076002324ab completed April 29, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7edb9a2c8190aefff02fd998edc2 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b834f488c8190bee40bd1caea0e40 completed May 18, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b8717b65c819089d29c1802d1ed55 completed May 18, 2026, 9:39 p.m.
Created at: April 17, 2026, 3:18 p.m.