Triple

T12938933
Position Surface form Disambiguated ID Type / Status
Subject Vlora County E309587 entity
Predicate containsTown P847 FINISHED
Object Selenicë
Selenicë is a small town in southwestern Albania known historically for its bitumen mines and location within Vlorë County.
 E1011171 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: Selenicë | Statement: [Vlora County, containsTown, Selenicë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Selenicë
Context triple: [Vlora County, containsTown, Selenicë]
  • A. Tepelenë
    Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
  • B. Himarë
    Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
  • C. Njimi
    Njimi was an important medieval city that served as the early capital of the Kanem-Bornu Empire in Central Africa.
  • D. Saraikis
    The Saraikis are an Indo-Aryan ethnic group primarily inhabiting the south-central regions of Pakistan, distinguished by their Saraiki language and rich Sufi-influenced cultural traditions.
  • E. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • 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: Selenicë
Triple: [Vlora County, containsTown, Selenicë]
Generated description
Selenicë is a small town in southwestern Albania known historically for its bitumen mines and location within Vlorë County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Selenicë
Target entity description: Selenicë is a small town in southwestern Albania known historically for its bitumen mines and location within Vlorë County.
  • A. Tepelenë
    Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
  • B. Himarë
    Himarë is a coastal town in southern Albania known for its beaches, historic stone villages, and prominent role as a tourist hub on the Ionian Sea.
  • C. Njimi
    Njimi was an important medieval city that served as the early capital of the Kanem-Bornu Empire in Central Africa.
  • D. Saraikis
    The Saraikis are an Indo-Aryan ethnic group primarily inhabiting the south-central regions of Pakistan, distinguished by their Saraiki language and rich Sufi-influenced cultural traditions.
  • E. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • 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_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.