Triple

T25623574

Position	Surface form	Disambiguated ID	Type / Status
Subject	Wilsede	`E642365`	entity
Predicate	nearestRoadAccessPoints	`P32540`	FINISHED
Object	Undeloh Undeloh is a small village in Lower Saxony, Germany, known as a gateway to the Lüneburg Heath nature reserve and a starting point for visits to the car-free heath village of Wilsede.	`E1688466`	NE FINISHED

How this triple was built (3 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: Undeloh | Statement: [Wilsede, nearestRoadAccessPoints, Undeloh]

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: Undeloh
Triple: [Wilsede, nearestRoadAccessPoints, Undeloh]

Generated description

Undeloh is a small village in Lower Saxony, Germany, known as a gateway to the Lüneburg Heath nature reserve and a starting point for visits to the car-free heath village of Wilsede.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: nearestRoadAccessPoints
Context triple: [Wilsede, nearestRoadAccessPoints, Undeloh]

A. nearestRoadHead chosen
Indicates that one location is the closest accessible road endpoint (or road access point) to another location.
B. infrastructureNearby
Indicates that one entity is located close to another entity that serves as infrastructure (such as roads, utilities, or public facilities).
C. nearbyMajorRoad
Indicates that one entity is located close to a significant or heavily used road.
D. transportationNearby
Indicates that there is a transportation facility or service located close to the referenced entity.
E. distanceFromRoads
Indicates the measured or estimated spatial distance between a location and the nearest road.
F. None of above.

Provenance (6 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_69e77e7a96748190b10f2699041e4e43`	completed	April 21, 2026, 1:41 p.m.
NER	Named-entity recognition	`batch_69f60c3b09488190ade1b69ff7f0df0e`	completed	May 2, 2026, 2:37 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10b780d5e08190aed14ce5a30cb237`	completed	May 22, 2026, 8:07 p.m.
NEDg	Description generation	`batch_6a10b94377108190a5fb35e99b5f0351`	completed	May 22, 2026, 8:14 p.m.
NED2	Entity disambiguation (via description)	`batch_6a10b9c6dbf48190abe4efb4035db2a0`	completed	May 22, 2026, 8:17 p.m.
PD	Predicate disambiguation	`batch_69f60b8461ac81908c5bd3d73eed59f4`	completed	May 2, 2026, 2:34 p.m.

Created at: April 21, 2026, 5:06 p.m.