Triple

T26624001
Position Surface form Disambiguated ID Type / Status
Subject Zoeterwoude municipal council E668284 entity
Predicate governs P760 FINISHED
Object municipality of Zoeterwoude
The municipality of Zoeterwoude is a local administrative region in the western Netherlands, located in the province of South Holland near Leiden.
E1735299 NE FINISHED

How this triple was built (2 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: municipality of Zoeterwoude | Statement: [Zoeterwoude municipal council, governs, municipality of Zoeterwoude]
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: municipality of Zoeterwoude
Triple: [Zoeterwoude municipal council, governs, municipality of Zoeterwoude]
Generated description
The municipality of Zoeterwoude is a local administrative region in the western Netherlands, located in the province of South Holland near Leiden.

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_69ee9cff507c819092b95bf7219a702e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f615e75cac8190972274bf5552a6d4 completed May 2, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec31bdb48190b90d73af2819bb99 completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ee266f008190843eb2ee53a4c734 completed May 23, 2026, 6:12 p.m.
NED2 Entity disambiguation (via description) batch_6a11ee9c89dc8190aaa61318e8210888 completed May 23, 2026, 6:14 p.m.
Created at: April 27, 2026, 2:22 a.m.