Triple

T565183
Position Surface form Disambiguated ID Type / Status
Subject South Holland E13536 entity
Predicate containsCity P294 FINISHED
Object Zuidland
Zuidland is a village in the western Netherlands, located in the province of South Holland.
 E71366 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: Zuidland | Statement: [South Holland, containsCity, Zuidland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zuidland
Context triple: [South Holland, containsCity, Zuidland]
  • A. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • B. Zealand
    Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
  • C. Helgoland
    Helgoland is a small German archipelago in the North Sea known for its dramatic red sandstone cliffs, unique wildlife, and historical significance as a strategic naval and cultural site.
  • D. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • E. Roda Island
    Roda Island is a Nile island in central Cairo known for its historic neighborhoods and the Nilometer, an ancient structure used to measure the river’s water level.
  • 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: Zuidland
Triple: [South Holland, containsCity, Zuidland]
Generated description
Zuidland is a village in the western Netherlands, located in the province of South Holland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zuidland
Target entity description: Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • A. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • B. Zealand
    Zealand is the largest and most populous island of Denmark, home to the capital city Copenhagen and a central hub of the country’s cultural and economic life.
  • C. Helgoland
    Helgoland is a small German archipelago in the North Sea known for its dramatic red sandstone cliffs, unique wildlife, and historical significance as a strategic naval and cultural site.
  • D. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • E. Roda Island
    Roda Island is a Nile island in central Cairo known for its historic neighborhoods and the Nilometer, an ancient structure used to measure the river’s water level.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49a74793481908fee3baff0b1d348 completed March 1, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4fc7dea048190a5a1472825f6d747 completed March 2, 2026, 2:57 a.m.
NEDg Description generation batch_69a4fcf4f4048190ae7ec93774c292be completed March 2, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69a4fd51f2608190b7835e7ba0d78adb completed March 2, 2026, 3 a.m.
Created at: March 1, 2026, 7:32 p.m.