Triple

T5063923
Position Surface form Disambiguated ID Type / Status
Subject Clarence Island E114095 entity
Predicate hasFeature P182 FINISHED
Object Jerez Peak E514513 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: Jerez Peak | Statement: [Clarence Island, hasFeature, Jerez Peak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerez Peak
Context triple: [Clarence Island, hasFeature, Jerez Peak]
  • A. Jerez Peak chosen
    Jerez Peak is the highest mountain on Clarence Island in the South Shetland Islands of Antarctica.
  • B. Monte Gordo
    Monte Gordo is a popular seaside resort town in Portugal’s Algarve region, known for its wide sandy beaches and tourism-focused amenities.
  • C. Cerro Huelén
    Cerro Huelén is the historic hill in central Santiago, Chile, now known as Cerro Santa Lucía, notable as a key colonial landmark and urban park.
  • D. Pico Almanzor
    Pico Almanzor is the highest and most prominent peak in Spain’s Sierra de Gredos range, renowned for its rugged granite slopes and alpine climbing routes.
  • E. Pico del Águila
    Pico del Águila is a prominent mountain peak and popular hiking destination located within the borough of Tlalpan in southern Mexico City.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd747756bc8190863c426e6fd6e8f7 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf28f6f5148190ac40ba3256f8264b completed March 21, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:38 p.m.