Triple

T7129753
Position Surface form Disambiguated ID Type / Status
Subject Vesturbær E166154 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Melaskóli
Melaskóli is a primary school located in the Vesturbær district of Reykjavík, Iceland.
 E644374 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: Melaskóli | Statement: [Vesturbær, hasEducationalInstitution, Melaskóli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melaskóli
Context triple: [Vesturbær, hasEducationalInstitution, Melaskóli]
  • A. Lappidoth
    Lappidoth is a biblical figure mentioned in the Book of Judges as the husband of the prophetess and judge Deborah.
  • B. Mlahsô
    Mlahsô is an endangered Neo-Aramaic language historically spoken by Assyrian/Syriac communities in parts of southeastern Turkey and northeastern Syria.
  • C. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • D. Murgtal
    Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • E. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • 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: Melaskóli
Triple: [Vesturbær, hasEducationalInstitution, Melaskóli]
Generated description
Melaskóli is a primary school located in the Vesturbær district of Reykjavík, Iceland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melaskóli
Target entity description: Melaskóli is a primary school located in the Vesturbær district of Reykjavík, Iceland.
  • A. Lappidoth
    Lappidoth is a biblical figure mentioned in the Book of Judges as the husband of the prophetess and judge Deborah.
  • B. Mlahsô
    Mlahsô is an endangered Neo-Aramaic language historically spoken by Assyrian/Syriac communities in parts of southeastern Turkey and northeastern Syria.
  • C. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • D. Murgtal
    Murgtal is a scenic valley in the northern Black Forest of Germany, known for its steep forested slopes, the River Murg, and traditional spa and timber towns.
  • E. Märsta
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e66c87848190b0ffd08e3c3f4877 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a33bf244819096db1351ebf62413 completed March 28, 2026, 9:45 a.m.
NEDg Description generation batch_69c7a45ce628819085343c30f2886a95 completed March 28, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69c7a60ac4348190a623522f2d8199e9 completed March 28, 2026, 9:57 a.m.
Created at: March 27, 2026, 2:44 p.m.