Triple

T20206867
Position Surface form Disambiguated ID Type / Status
Subject Lezhë County E493374 entity
Predicate containsSettlement P847 FINISHED
Object Ungrej
Ungrej is a small village located in Lezhë County in northwestern Albania.
E1417832 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: Ungrej | Statement: [Lezhë County, containsSettlement, Ungrej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ungrej
Context triple: [Lezhë County, containsSettlement, Ungrej]
  • A. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • B. Igerna
    Igerna is an alternate name for Igraine, the mother of King Arthur in Arthurian legend.
  • C. Gedinne
    Gedinne is a rural municipality in the Ardennes region of southern Belgium, known for its forests, outdoor recreation, and location near the French border.
  • D. Інгулець
    Інгулець is a river in southern Ukraine that flows through the Dnipro basin and is an important waterway for the surrounding agricultural and industrial regions.
  • E. Nigrán
    Nigrán is a coastal municipality in the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • 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: Ungrej
Triple: [Lezhë County, containsSettlement, Ungrej]
Generated description
Ungrej is a small village located in Lezhë County in northwestern Albania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ungrej
Target entity description: Ungrej is a small village located in Lezhë County in northwestern Albania.
  • A. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • B. Igerna
    Igerna is an alternate name for Igraine, the mother of King Arthur in Arthurian legend.
  • C. Gedinne
    Gedinne is a rural municipality in the Ardennes region of southern Belgium, known for its forests, outdoor recreation, and location near the French border.
  • D. Інгулець
    Інгулець is a river in southern Ukraine that flows through the Dnipro basin and is an important waterway for the surrounding agricultural and industrial regions.
  • E. Nigrán
    Nigrán is a coastal municipality in the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d922ebc8190ae012da8ceba74dd completed April 20, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843ecd72c8190a605ccb8af032795 completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a0845193350819088523da3087fe421 completed May 16, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0845e473088190a9a87fc83ece73d5 completed May 16, 2026, 10:24 a.m.
Created at: April 11, 2026, 11:38 p.m.