Triple

T20137621
Position Surface form Disambiguated ID Type / Status
Subject Harju maakond E491063 entity
Predicate contains P35 FINISHED
Object Loksa
Loksa is a small coastal town in northern Estonia known for its shipbuilding history and location on the shores of the Gulf of Finland.
 E1413437 NE FINISHED

How this triple was built (4 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: Loksa | Statement: [Harju maakond, contains, Loksa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loksa
Context triple: [Harju maakond, contains, Loksa]
  • A. Laguboti
    Laguboti is a town in North Sumatra, Indonesia, known as a cultural and religious hub for the indigenous Batak Parmalim faith.
  • B. Makiivka
    Makiivka is a large industrial city in eastern Ukraine known for its coal mining and heavy industry, located near Donetsk in the Donbas region.
  • C. Pechory
    Pechory is a historic town in western Russia near the Estonian border, known for its religious significance and well-preserved medieval architecture.
  • D. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • E. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Loksa
Triple: [Harju maakond, contains, Loksa]
Generated description
Loksa is a small coastal town in northern Estonia known for its shipbuilding history and location on the shores of the Gulf of Finland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loksa
Target entity description: Loksa is a small coastal town in northern Estonia known for its shipbuilding history and location on the shores of the Gulf of Finland.
  • A. Laguboti
    Laguboti is a town in North Sumatra, Indonesia, known as a cultural and religious hub for the indigenous Batak Parmalim faith.
  • B. Makiivka
    Makiivka is a large industrial city in eastern Ukraine known for its coal mining and heavy industry, located near Donetsk in the Donbas region.
  • C. Pechory
    Pechory is a historic town in western Russia near the Estonian border, known for its religious significance and well-preserved medieval architecture.
  • D. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • E. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • F. None of above. chosen

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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676879f48190a59da04393d2a8cc completed April 20, 2026, 5:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082de4bba88190a7d20a03826cbff0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ee3aafc819088a14b0a5d655072 completed May 16, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a082f70e24881909c43a85289df4976 completed May 16, 2026, 8:48 a.m.
Created at: April 11, 2026, 11:32 p.m.