Triple

T18864387
Position Surface form Disambiguated ID Type / Status
Subject Hamtun E461397 entity
Predicate relatedTo P37 FINISHED
Object Hamtunscir
Hamtunscir is an Old English name for the historic English county later known as Hampshire.
 E1347472 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: Hamtunscir | Statement: [Hamtun, relatedTo, Hamtunscir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamtunscir
Context triple: [Hamtun, relatedTo, Hamtunscir]
  • A. Húsar
    Húsar is a small village on the Faroe Islands, located on the island of Kalsoy and known for its traditional fishing community and scenic coastal setting.
  • B. Hiorthhamn
    Hiorthhamn is a former mining settlement on the island of Spitsbergen in the Svalbard archipelago, now largely abandoned and known for its historical remains in the Arctic landscape.
  • C. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • D. Brattahlid
    Brattahlid was the main Norse settlement and estate of Erik the Red in southern Greenland, serving as a central hub of the medieval Greenlandic Norse colony.
  • E. Ságat
    Ságat is a Norwegian Sámi-language newspaper that serves as a key regional news source for the Sámi people.
  • 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: Hamtunscir
Triple: [Hamtun, relatedTo, Hamtunscir]
Generated description
Hamtunscir is an Old English name for the historic English county later known as Hampshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hamtunscir
Target entity description: Hamtunscir is an Old English name for the historic English county later known as Hampshire.
  • A. Húsar
    Húsar is a small village on the Faroe Islands, located on the island of Kalsoy and known for its traditional fishing community and scenic coastal setting.
  • B. Hiorthhamn
    Hiorthhamn is a former mining settlement on the island of Spitsbergen in the Svalbard archipelago, now largely abandoned and known for its historical remains in the Arctic landscape.
  • C. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • D. Brattahlid
    Brattahlid was the main Norse settlement and estate of Erik the Red in southern Greenland, serving as a central hub of the medieval Greenlandic Norse colony.
  • E. Ságat
    Ságat is a Norwegian Sámi-language newspaper that serves as a key regional news source for the Sámi people.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a3e9a48190a4d44728635ac368 completed April 20, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575b902ec8190bcda2ab33b87bea4 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a057927ddd881908809c9c27e1ae5a2 completed May 14, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0579982b4c8190a7cff4d2946bc15d completed May 14, 2026, 7:28 a.m.
Created at: April 10, 2026, 11:57 a.m.