Triple

T842853
Position Surface form Disambiguated ID Type / Status
Subject Gdańsk E18213 entity
Predicate historicalName P65 FINISHED
Object Gyddanyzc
Gyddanyzc is an early historical name for the Polish port city of Gdańsk on the Baltic Sea.
 E100501 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: Gyddanyzc | Statement: [Gdańsk, historicalName, Gyddanyzc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gyddanyzc
Context triple: [Gdańsk, historicalName, Gyddanyzc]
  • A. Gŵyr
    Gŵyr is the Welsh name for the Gower Peninsula, a scenic coastal region in southwest Wales renowned for its beaches, cliffs, and natural beauty.
  • B. Yffiniac
    Yffiniac is a small commune in the Côtes-d'Armor department of Brittany in northwestern France.
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Rhinogydd
    Rhinogydd is a rugged, remote mountain range in southern Snowdonia, Wales, known for its rocky terrain and challenging walking routes.
  • E. Ganmain
    Ganmain is a small rural town in the Riverina region of New South Wales, Australia, known for its wheat farming and annual agricultural show.
  • 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: Gyddanyzc
Triple: [Gdańsk, historicalName, Gyddanyzc]
Generated description
Gyddanyzc is an early historical name for the Polish port city of Gdańsk on the Baltic Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gyddanyzc
Target entity description: Gyddanyzc is an early historical name for the Polish port city of Gdańsk on the Baltic Sea.
  • A. Gŵyr
    Gŵyr is the Welsh name for the Gower Peninsula, a scenic coastal region in southwest Wales renowned for its beaches, cliffs, and natural beauty.
  • B. Yffiniac
    Yffiniac is a small commune in the Côtes-d'Armor department of Brittany in northwestern France.
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Rhinogydd
    Rhinogydd is a rugged, remote mountain range in southern Snowdonia, Wales, known for its rocky terrain and challenging walking routes.
  • E. Ganmain
    Ganmain is a small rural town in the Riverina region of New South Wales, Australia, known for its wheat farming and annual agricultural show.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abe8a0bc81909b54af465e67be1f completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929a91088190bef474424bde527c completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a793609f148190b191c1d77cad0c80 completed March 4, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69a793d0aac081909acf83bb60fd2a2c completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:38 p.m.