Triple

T10835009
Position Surface form Disambiguated ID Type / Status
Subject Sulawesi region E255729 entity
Predicate hasHighestPoint P210 FINISHED
Object Mount Rantemario
Mount Rantemario is a prominent mountain in Indonesia known as the highest peak on the island of Sulawesi.
E904877 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: Mount Rantemario | Statement: [Sulawesi region, hasHighestPoint, Mount Rantemario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Rantemario
Context triple: [Sulawesi region, hasHighestPoint, Mount Rantemario]
  • A. Mount Ilandag
    Mount Ilandag is a prominent volcanic mountain in the Nakhchivan region of Azerbaijan, noted for its distinctive shape and local legends.
  • B. Mount Reimer
    Mount Reimer is a mountain peak in the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
  • C. Mount Quarantania
    Mount Quarantania is a cliffside mountain near Jericho traditionally identified as the site where Jesus fasted and was tempted by the devil according to the New Testament.
  • D. Mount Majura
    Mount Majura is a prominent hill in Canberra, Australia, known for its nature reserve, walking trails, and telecommunications facilities.
  • E. Mount Farquhar
    Mount Farquhar is a high, rugged peak in California’s Sierra Nevada, located along the remote Great Western Divide within Sequoia National Park.
  • 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: Mount Rantemario
Triple: [Sulawesi region, hasHighestPoint, Mount Rantemario]
Generated description
Mount Rantemario is a prominent mountain in Indonesia known as the highest peak on the island of Sulawesi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mount Rantemario
Target entity description: Mount Rantemario is a prominent mountain in Indonesia known as the highest peak on the island of Sulawesi.
  • A. Mount Ilandag
    Mount Ilandag is a prominent volcanic mountain in the Nakhchivan region of Azerbaijan, noted for its distinctive shape and local legends.
  • B. Mount Reimer
    Mount Reimer is a mountain peak in the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
  • C. Mount Quarantania
    Mount Quarantania is a cliffside mountain near Jericho traditionally identified as the site where Jesus fasted and was tempted by the devil according to the New Testament.
  • D. Mount Majura
    Mount Majura is a prominent hill in Canberra, Australia, known for its nature reserve, walking trails, and telecommunications facilities.
  • E. Mount Farquhar
    Mount Farquhar is a high, rugged peak in California’s Sierra Nevada, located along the remote Great Western Divide within Sequoia National Park.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74425447081908fb51c7edf54af67 completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6d27d8c8190b2c8ee9c54cf7fd1 completed April 18, 2026, 8:17 p.m.
NEDg Description generation batch_69e3f01f9d048190b553184f0f6ce29c completed April 18, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_69e3f3fef9308190b0354ed436c32e4c completed April 18, 2026, 9:13 p.m.
Created at: April 8, 2026, 9:19 p.m.