Triple

T15214849
Position Surface form Disambiguated ID Type / Status
Subject Taltal Commune E363610 entity
Predicate administrativeCenter P1474 FINISHED
Object Taltal E73674 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: Taltal | Statement: [Taltal Commune, administrativeCenter, Taltal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taltal
Context triple: [Taltal Commune, administrativeCenter, Taltal]
  • A. Taltal chosen
    Taltal is a coastal city in northern Chile known for its historic mining activity and proximity to the Atacama Desert.
  • B. Taloot
    Taloot is a coastal barangay of the municipality of Argao in Cebu, Philippines.
  • C. Kauthara
    Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
  • D. Tübatulabal
    Tübatulabal is a Native American people and their Uto-Aztecan language traditionally associated with the Kern River region of California.
  • E. Ṭūs
    Ṭūs is an ancient city in northeastern Iran, historically significant as a cultural and intellectual center and best known as the birthplace and burial place of the Persian poet Ferdowsi.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076e4348819091fa91c1562e7c5c completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e9e2d8819086ca62ca6037dd1c completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:11 a.m.