Triple

T12938668
Position Surface form Disambiguated ID Type / Status
Subject Himarë E309581 entity
Predicate containsSettlement P847 FINISHED
Object Dhërmi
Dhërmi is a coastal village in southern Albania known for its picturesque beaches, clear turquoise waters, and traditional stone architecture.
 E1011818 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: Dhërmi | Statement: [Himarë, containsSettlement, Dhërmi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dhërmi
Context triple: [Himarë, containsSettlement, Dhërmi]
  • A. 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.
  • B. Pejë
    Pejë is a historic city in western Kosovo known for its Ottoman-era architecture and proximity to the Rugova Canyon in the Accursed Mountains.
  • C. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • D. Dangëllia
    Dangëllia is a historical and ethnographic subregion in southern Albania, known for its Tosk Albanian culture and traditions.
  • E. Kryegjysh
    Kryegjysh is the title given to the supreme spiritual leader of the Bektashi Sufi order.
  • 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: Dhërmi
Triple: [Himarë, containsSettlement, Dhërmi]
Generated description
Dhërmi is a coastal village in southern Albania known for its picturesque beaches, clear turquoise waters, and traditional stone architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dhërmi
Target entity description: Dhërmi is a coastal village in southern Albania known for its picturesque beaches, clear turquoise waters, and traditional stone architecture.
  • A. 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.
  • B. Pejë
    Pejë is a historic city in western Kosovo known for its Ottoman-era architecture and proximity to the Rugova Canyon in the Accursed Mountains.
  • C. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • D. Dangëllia
    Dangëllia is a historical and ethnographic subregion in southern Albania, known for its Tosk Albanian culture and traditions.
  • E. Kryegjysh
    Kryegjysh is the title given to the supreme spiritual leader of the Bektashi Sufi order.
  • 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_69f6b1a539148190be7a4f16f738ca90 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.