Triple

T9158874
Position Surface form Disambiguated ID Type / Status
Subject Monte Verde E219771 entity
Predicate hasComponent P35 FINISHED
Object Monte Verde I E219771 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: Monte Verde I | Statement: [Monte Verde, hasComponent, Monte Verde I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Verde I
Context triple: [Monte Verde, hasComponent, Monte Verde I]
  • A. Monte Verde site chosen
    The Monte Verde site is an archaeological location in southern Chile that provides some of the earliest widely accepted evidence of human presence in the Americas, challenging the traditional Clovis-first model.
  • B. Monte Verde
    Monte Verde is a notable mountain located on the island of São Vicente in Cape Verde, known for its prominent peak and scenic views.
  • C. Cayo Hueso
    Cayo Hueso is a densely populated, historically Afro-Cuban neighborhood in Havana known for its vibrant cultural life and strong community traditions.
  • D. La Venta
    La Venta is an important ancient Olmec archaeological site in present-day Tabasco, Mexico, known for its colossal stone heads and early Mesoamerican ceremonial architecture.
  • E. La Venta
    La Venta is a town in the Francisco Morazán Department of Honduras, known as a small rural municipality in the central part of the country.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca9d805588190a0deadda1dd410a1 completed April 1, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05468843481908a1f17219a1bfc79 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:21 p.m.