Triple

T14273261
Position Surface form Disambiguated ID Type / Status
Subject Vijfheerenlanden E353846 entity
Predicate containsSettlement P847 FINISHED
Object Hagestein
Hagestein is a small village in the Dutch province of Utrecht, known for its historic church and rural character along the Lek River.
E1088962 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: Hagestein | Statement: [Vijfheerenlanden, containsSettlement, Hagestein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagestein
Context triple: [Vijfheerenlanden, containsSettlement, Hagestein]
  • A. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • B. Blackeberg
    Blackeberg is a suburban district in western Stockholm, Sweden, best known internationally as the bleak, wintry backdrop of the Swedish vampire novel and film "Let the Right One In."
  • C. Ladstein
    Ladstein is a small Norwegian island located in Rogaland county, known for its rural landscape and proximity to the island of Talgje.
  • D. Kornhain
    Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • E. Strodehne
    Strodehne is a small village in northeastern Germany, located in the state of Brandenburg.
  • 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: Hagestein
Triple: [Vijfheerenlanden, containsSettlement, Hagestein]
Generated description
Hagestein is a small village in the Dutch province of Utrecht, known for its historic church and rural character along the Lek River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hagestein
Target entity description: Hagestein is a small village in the Dutch province of Utrecht, known for its historic church and rural character along the Lek River.
  • A. Hesselberg
    Hesselberg is a prominent hill in Bavaria, Germany, known as the highest elevation of the Franconian Alb region.
  • B. Blackeberg
    Blackeberg is a suburban district in western Stockholm, Sweden, best known internationally as the bleak, wintry backdrop of the Swedish vampire novel and film "Let the Right One In."
  • C. Ladstein
    Ladstein is a small Norwegian island located in Rogaland county, known for its rural landscape and proximity to the island of Talgje.
  • D. Kornhain
    Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • E. Strodehne
    Strodehne is a small village in northeastern Germany, located in the state of Brandenburg.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6582f5308190969f4cfd724d9139 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326a5aec8190b139a0c49fd43705 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd333b49a88190834a5f45fa0fc6c2 completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd33bdc8d08190be11f5ccf259cd6a completed May 8, 2026, 12:52 a.m.
Created at: April 10, 2026, 1:10 a.m.