Triple

T24217990
Position Surface form Disambiguated ID Type / Status
Subject Viðey Island E601358 entity
Predicate ferryDeparturePoint P1521 FINISHED
Object Skarfabakki harbour
Skarfabakki harbour is a port area in Reykjavík, Iceland, serving as a key terminal for passenger ferries and other maritime traffic.
 E1624591 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: Skarfabakki harbour | Statement: [Viðey Island, ferryDeparturePoint, Skarfabakki harbour]
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: Skarfabakki harbour
Triple: [Viðey Island, ferryDeparturePoint, Skarfabakki harbour]
Generated description
Skarfabakki harbour is a port area in Reykjavík, Iceland, serving as a key terminal for passenger ferries and other maritime traffic.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: ferryDeparturePoint
Context triple: [Viðey Island, ferryDeparturePoint, Skarfabakki harbour]
  • A. ferryTerminalName
    Indicates the name assigned to a ferry terminal involved in the relationship or action.
  • B. hasNearbyFerryPort
    Indicates that one location is situated close enough to another location that serves as a ferry port to be considered nearby.
  • C. placeOfDeparture chosen
    Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
  • D. hasFerryPort
    Indicates that a place serves as a location where ferries regularly dock to load and unload passengers or cargo.
  • E. eraOfMajorUseAsFerryTerminal
    Indicates the time period during which a location was primarily used as a ferry terminal.
  • 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_69e29537ca548190b94a37ebe1977caf completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f2820a80ec8190bd11f08f7733843d completed April 29, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fbd21717c8190a43d559ab12e824d completed May 22, 2026, 2:19 a.m.
NEDg Description generation batch_6a0fbec907148190832159960dc4bdd6 completed May 22, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0fbf3cf7988190a9d766bfca4ef994 completed May 22, 2026, 2:28 a.m.
PD Predicate disambiguation batch_69f1c448abec8190b87cbf9ed419a309 completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:58 p.m.