Triple

T12938673
Position Surface form Disambiguated ID Type / Status
Subject Himarë E309581 entity
Predicate containsSettlement P847 FINISHED
Object Vuno
Vuno is a coastal village in southern Albania known for its traditional stone houses, hillside setting above the Ionian Sea, and proximity to the Albanian Riviera.
 E1010804 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: Vuno | Statement: [Himarë, containsSettlement, Vuno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vuno
Context triple: [Himarë, containsSettlement, Vuno]
  • A. The Vodi
    The Vodi is a novel by British author John Braine, best known for its darkly psychological exploration of guilt, illness, and alienation in postwar England.
  • B. Vagn
    Vagn is a Scandinavian given name, historically used in Denmark and other Nordic countries.
  • C. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • D. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • E. Elva
    Elva is a small town in southern Estonia known for its forests, lakes, and role as a local recreational and tourism center.
  • 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: Vuno
Triple: [Himarë, containsSettlement, Vuno]
Generated description
Vuno is a coastal village in southern Albania known for its traditional stone houses, hillside setting above the Ionian Sea, and proximity to the Albanian Riviera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vuno
Target entity description: Vuno is a coastal village in southern Albania known for its traditional stone houses, hillside setting above the Ionian Sea, and proximity to the Albanian Riviera.
  • A. The Vodi
    The Vodi is a novel by British author John Braine, best known for its darkly psychological exploration of guilt, illness, and alienation in postwar England.
  • B. Vagn
    Vagn is a Scandinavian given name, historically used in Denmark and other Nordic countries.
  • C. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • D. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • E. Elva
    Elva is a small town in southern Estonia known for its forests, lakes, and role as a local recreational and tourism center.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc8c0848190946e109ec98e4479 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6ef89881908ec3138b9f4a8b1a completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1ae645c8190a7c3e5f926c6a487 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.