Triple

T36691964

Position	Surface form	Disambiguated ID	Type / Status
Subject	Obergumermaar	`E905979`	entity
Predicate	partOf	`P40`	FINISHED
Object	drainage network of Groningen The drainage network of Groningen is an interconnected system of natural and engineered waterways, ditches, and canals designed to manage water levels and prevent flooding in the low-lying Dutch province of Groningen.	`E2193456`	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: drainage network of Groningen | Statement: [Obergumermaar, partOf, drainage network of Groningen]

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: drainage network of Groningen
Triple: [Obergumermaar, partOf, drainage network of Groningen]

Generated description

The drainage network of Groningen is an interconnected system of natural and engineered waterways, ditches, and canals designed to manage water levels and prevent flooding in the low-lying Dutch province of Groningen.

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_69f76e70d2448190bdd3ce781ba971c5`	completed	May 3, 2026, 3:49 p.m.
NER	Named-entity recognition	`batch_69f7c7e6b3f481909ad2b44e11f578f2`	completed	May 3, 2026, 10:10 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3a20e9b3908190befd8f94bf186286`	completed	June 23, 2026, 6 a.m.
NEDg	Description generation	`batch_6a3a22e5e8fc8190a86afd5a2ceb8491`	completed	June 23, 2026, 6:08 a.m.
NED2	Entity disambiguation (via description)	`batch_6a3a233baf948190a8d3cfb019d6018a`	completed	June 23, 2026, 6:10 a.m.

Created at: May 3, 2026, 4:12 p.m.