Triple

T3522115
Position Surface form Disambiguated ID Type / Status
Subject Oksskolten E74445 entity
Predicate hasParentPeak P1319 FINISHED
Object Suliskongen
Suliskongen is a prominent mountain in the Sulitjelma massif of northern Norway, known as one of the major peaks in the Scandinavian border region between Norway and Sweden.
 E364338 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: Suliskongen | Statement: [Oksskolten, hasParentPeak, Suliskongen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suliskongen
Context triple: [Oksskolten, hasParentPeak, Suliskongen]
  • A. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • B. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Sõru
    Sõru is a small port village on the southern coast of Hiiumaa Island in Estonia, known for its ferry connection to the mainland and maritime setting.
  • E. Polkemmet
    Polkemmet is a locality in Scotland best known for the former Polkemmet Country Park and its historic estate grounds.
  • 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: Suliskongen
Triple: [Oksskolten, hasParentPeak, Suliskongen]
Generated description
Suliskongen is a prominent mountain in the Sulitjelma massif of northern Norway, known as one of the major peaks in the Scandinavian border region between Norway and Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suliskongen
Target entity description: Suliskongen is a prominent mountain in the Sulitjelma massif of northern Norway, known as one of the major peaks in the Scandinavian border region between Norway and Sweden.
  • A. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • B. Rombaken
    Rombaken is a fjord in northern Norway, known as an inner branch of the Ofotfjord near the town of Narvik.
  • C. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • D. Sõru
    Sõru is a small port village on the southern coast of Hiiumaa Island in Estonia, known for its ferry connection to the mainland and maritime setting.
  • E. Polkemmet
    Polkemmet is a locality in Scotland best known for the former Polkemmet Country Park and its historic estate grounds.
  • 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_69ad85d0c5488190a3d8e02ebd01a1aa completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc4dd6d48190a5a3f4b86c82b86c completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e87c7948190901d98f34e3987eb completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f13d5e881908eaa05b11e493e8b completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b37f703ff081908a9aa3588da52d76 completed March 13, 2026, 3:07 a.m.
Created at: March 8, 2026, 3:19 p.m.