Triple

T6549720
Position Surface form Disambiguated ID Type / Status
Subject Simon Hendrik Spoor E151099 entity
Predicate familyName P18 FINISHED
Object Spoor
Spoor is a Dutch surname most notably borne by Simon Hendrik Spoor, a prominent military leader in the mid-20th century.
 E605438 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: Spoor | Statement: [Simon Hendrik Spoor, familyName, Spoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Spoor
Context triple: [Simon Hendrik Spoor, familyName, Spoor]
  • A. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • B. Spoornet
    Spoornet was South Africa’s former state-owned freight rail operator, responsible for much of the country’s heavy rail transport before being restructured and rebranded.
  • C. Driewegen
    Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • D. Heenvliet
    Heenvliet is a small historic town in the western Netherlands, known for its medieval castle ruins and rural setting within the province of South Holland.
  • E. Land van Rijen
    Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
  • 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: Spoor
Triple: [Simon Hendrik Spoor, familyName, Spoor]
Generated description
Spoor is a Dutch surname most notably borne by Simon Hendrik Spoor, a prominent military leader in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Spoor
Target entity description: Spoor is a Dutch surname most notably borne by Simon Hendrik Spoor, a prominent military leader in the mid-20th century.
  • A. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • B. Spoornet
    Spoornet was South Africa’s former state-owned freight rail operator, responsible for much of the country’s heavy rail transport before being restructured and rebranded.
  • C. Driewegen
    Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • D. Heenvliet
    Heenvliet is a small historic town in the western Netherlands, known for its medieval castle ruins and rural setting within the province of South Holland.
  • E. Land van Rijen
    Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae04affc8190826ee033849f2d42 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55113408190b96baf2747f36e3c completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d82753288190bb8cd18254feee2d completed March 27, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6d92bc2508190b0e1eaf8b46c958e completed March 27, 2026, 7:23 p.m.
Created at: March 27, 2026, 1:51 p.m.