Triple

T565099
Position Surface form Disambiguated ID Type / Status
Subject South Holland E13536 entity
Predicate containsCity P294 FINISHED
Object Gouda
Gouda is a historic Dutch city renowned worldwide for its namesake cheese, traditional cheese market, and well-preserved medieval architecture.
 E70496 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: Gouda | Statement: [South Holland, containsCity, Gouda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gouda
Context triple: [South Holland, containsCity, Gouda]
  • A. Cantal
    Cantal is a rural department in south-central France known for its volcanic landscapes, pastoral agriculture, and the production of Cantal cheese.
  • B. Valley of the Cheesemakers
    The Valley of the Cheesemakers is the ancient name for Jerusalem’s Tyropoeon Valley, a central ravine that historically divided parts of the city.
  • C. Anjou
    Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
  • D. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • E. Burgundy
    Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
  • 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: Gouda
Triple: [South Holland, containsCity, Gouda]
Generated description
Gouda is a historic Dutch city renowned worldwide for its namesake cheese, traditional cheese market, and well-preserved medieval architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gouda
Target entity description: Gouda is a historic Dutch city renowned worldwide for its namesake cheese, traditional cheese market, and well-preserved medieval architecture.
  • A. Cantal
    Cantal is a rural department in south-central France known for its volcanic landscapes, pastoral agriculture, and the production of Cantal cheese.
  • B. Valley of the Cheesemakers
    The Valley of the Cheesemakers is the ancient name for Jerusalem’s Tyropoeon Valley, a central ravine that historically divided parts of the city.
  • C. Anjou
    Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
  • D. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • E. Burgundy
    Burgundy is a renowned wine-producing region in eastern France, famous for its high-quality Chardonnay and Pinot Noir wines.
  • 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_69a4ed37a98081909afbc0de4079dda8 completed March 2, 2026, 1:51 a.m.
NEDg Description generation batch_69a4ed9314308190ab02cefa0479345d completed March 2, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69a4ee076c6481909f18ee53ef936c0f completed March 2, 2026, 1:55 a.m.
Created at: March 1, 2026, 7:32 p.m.