Triple

T4479217
Position Surface form Disambiguated ID Type / Status
Subject Smith Island E100085 entity
Predicate hasHighestPoint P210 FINISHED
Object Mount Foster E69611 NE FINISHED

How this triple was built (2 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 Foster | Statement: [Smith Island, hasHighestPoint, Mount Foster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Foster
Context triple: [Smith Island, hasHighestPoint, Mount Foster]
  • A. Mount Foster chosen
    Mount Foster is a prominent, heavily glaciated mountain on Smith Island in Antarctica’s South Shetland Islands, notable as the archipelago’s highest peak.
  • B. Mount Ainslie
    Mount Ainslie is a prominent hill in Canberra, Australia, known for its popular lookout offering panoramic views over the city and its surrounding landscape.
  • C. Mount Martin
    Mount Martin is an active stratovolcano located on the Alaska Peninsula within the volcanically rich Aleutian Arc.
  • D. Mount Catherine
    Mount Catherine is the highest mountain in Egypt, located in the southern Sinai Peninsula and known for its rugged terrain and religious significance.
  • E. Mount Oxford
    Mount Oxford is a high Colorado fourteener in the Rocky Mountains, known for its alpine hiking routes and proximity to Mount Belford in the Sawatch Range.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356db0a008190ad39b68efc095b8d completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62888ea508190a052c0b2edee7fca completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.