Triple

T35898782

Position	Surface form	Disambiguated ID	Type / Status
Subject	Hermannsdalstinden	`E1038296`	entity
Predicate	typicalRouteVia	`P11333`	FINISHED
Object	Munkebu hut Munkebu hut is a popular mountain cabin and hiking base in Norway’s Lofoten Islands, used as a starting point for ascents of nearby peaks such as Hermannsdalstinden.	`E2159856`	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: Munkebu hut | Statement: [Hermannsdalstinden, typicalRouteVia, Munkebu hut]

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: Munkebu hut
Triple: [Hermannsdalstinden, typicalRouteVia, Munkebu hut]

Generated description

Munkebu hut is a popular mountain cabin and hiking base in Norway’s Lofoten Islands, used as a starting point for ascents of nearby peaks such as Hermannsdalstinden.

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

Target predicate: typicalRouteVia
Context triple: [Hermannsdalstinden, typicalRouteVia, Munkebu hut]

A. popularRouteVia
Indicates that a route between two locations commonly or frequently passes through a specified intermediate point or path.
B. routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
C. routeVia chosen
Indicates that a connection, path, or communication between two points is established or carried out through an intermediate location, node, or channel.
D. routeBetween
Indicates that there exists a path or connection enabling travel or communication between two locations or points.
E. routeAlong
Indicates that one entity follows, runs parallel to, or is situated along the course or path defined by another entity.
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_69f76e2190f88190beb2eed798a4ef01`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_6a037ce70f54819082946dad8d380825`	completed	May 12, 2026, 7:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38a50285d48190bab1502791b2cdeb`	completed	June 22, 2026, 2:59 a.m.
NEDg	Description generation	`batch_6a38a61174b08190ba4c40499c5075ca`	completed	June 22, 2026, 3:03 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38a6bafeb081908a73e8735069d039`	completed	June 22, 2026, 3:06 a.m.
PD	Predicate disambiguation	`batch_6a037a069e6c8190857b611fffb7b867`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:07 p.m.