Triple

T9595470
Position Surface form Disambiguated ID Type / Status
Subject Gusar District E231519 entity
Predicate hasSettlement P1068 FINISHED
Object Laza
Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
 E814157 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: Laza | Statement: [Gusar District, hasSettlement, Laza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laza
Context triple: [Gusar District, hasSettlement, Laza]
  • A. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • B. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • C. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Erceg
    Erceg is a surname most notably associated with New Zealand footballer Abby Erceg.
  • 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: Laza
Triple: [Gusar District, hasSettlement, Laza]
Generated description
Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laza
Target entity description: Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
  • A. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • B. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • C. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Erceg
    Erceg is a surname most notably associated with New Zealand footballer Abby Erceg.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a164c20819093fa863f8f5f79c0 completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189f215588190ac04a3b0e3337807 completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18dfd8c408190afc1481599176334 completed April 4, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_69d18e70eee8819086bbee8212fe3eb2 completed April 4, 2026, 10:19 p.m.
Created at: March 30, 2026, 8:07 p.m.