Triple

T10241671
Position Surface form Disambiguated ID Type / Status
Subject María Elena E243607 entity
Predicate hasNearbyCity P350 FINISHED
Object Tocopilla E215833 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: Tocopilla | Statement: [María Elena, hasNearbyCity, Tocopilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tocopilla
Context triple: [María Elena, hasNearbyCity, Tocopilla]
  • A. Tocopilla chosen
    Tocopilla is a coastal city and port in northern Chile known for its mining industry and location on the Pacific Ocean.
  • B. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • C. Acamas
    Acamas is a figure in Greek mythology, traditionally known as a son of the Athenian hero Theseus who took part in events surrounding the Trojan War.
  • D. Pochuteco
    Pochuteco is an extinct Uto-Aztecan language once spoken in the region of Pochutla on the Pacific coast of Oaxaca, Mexico.
  • E. Hostotipaquillo
    Hostotipaquillo is a municipality and town in the state of Jalisco, Mexico, known for its mining history and location in the western highlands.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21f2ae0819098ac60c828dc9cae completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f780c7808190993e7c37cb4d18a3 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:24 a.m.