Triple

T13471558
Position Surface form Disambiguated ID Type / Status
Subject Averøy Municipality E311640 entity
Predicate hasIsland P970 FINISHED
Object Henda
Henda is a small Norwegian island located within Averøy Municipality in Møre og Romsdal county.
E1042333 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: Henda | Statement: [Averøy Municipality, hasIsland, Henda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henda
Context triple: [Averøy Municipality, hasIsland, Henda]
  • A. Hendrina
    Hendrina is a small town in Mpumalanga, South Africa, known for its coal mining and nearby power stations.
  • B. Hala
    Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
  • C. Nahila
    Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
  • D. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • E. Hadiyya
    Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
  • 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: Henda
Triple: [Averøy Municipality, hasIsland, Henda]
Generated description
Henda is a small Norwegian island located within Averøy Municipality in Møre og Romsdal county.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henda
Target entity description: Henda is a small Norwegian island located within Averøy Municipality in Møre og Romsdal county.
  • A. Hendrina
    Hendrina is a small town in Mpumalanga, South Africa, known for its coal mining and nearby power stations.
  • B. Hala
    Hala is a feminine given name of Arabic origin commonly used across the Middle East and among Arabic-speaking communities worldwide.
  • C. Nahila
    Nahila is a character from the novel "Gate of the Sun," which portrays the Palestinian experience through interwoven personal and historical narratives.
  • D. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • E. Hadiyya
    Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf22e5f88190b1078f006c8ef7c0 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462bcb848190804a48f1a50a0c71 completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74af641f881908af981d251e671be completed May 3, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_69f74b78bd508190a10708572a6e9309 completed May 3, 2026, 1:19 p.m.
Created at: April 9, 2026, 9:42 p.m.