Triple

T16397306
Position Surface form Disambiguated ID Type / Status
Subject Aeta E398215 entity
Predicate region P40 FINISHED
Object Sierra Madre E95440 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: Sierra Madre | Statement: [Aeta, region, Sierra Madre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra Madre
Context triple: [Aeta, region, Sierra Madre]
  • A. Sierra Madre chosen
    Sierra Madre is the longest mountain range in the Philippines, running along the eastern coast of Luzon and serving as a vital ecological and weather barrier.
  • B. Sierra Madre
    Sierra Madre is a small residential city in Los Angeles County, California, nestled at the foothills of the San Gabriel Mountains and known for its quaint downtown and historic Wistaria vine.
  • C. Sierra Madre Mountains
    The Sierra Madre Mountains are a remote, rugged mountain range in central California known for their chaparral-covered slopes, wildlife habitat, and limited human development.
  • D. Sierras Grandes
    Sierras Grandes is a prominent mountain range in central Argentina known for its high plateaus, rugged granite landscapes, and popular trekking and climbing areas such as the Champaquí peak.
  • E. Sierra Madre Occidental
    The Sierra Madre Occidental is a major mountain range in western Mexico known for its rugged terrain, deep canyons, and significant biodiversity.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cc5c9c8190ba1a70f9e430cefb completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004579d9a88190b353952c5c301e9f completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.