Triple

T16944447
Position Surface form Disambiguated ID Type / Status
Subject San Felipe Province E411032 entity
Predicate hasMunicipality P847 FINISHED
Object Catemu E191397 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: Catemu | Statement: [San Felipe Province, hasMunicipality, Catemu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catemu
Context triple: [San Felipe Province, hasMunicipality, Catemu]
  • A. Catemu chosen
    Catemu is a small Chilean town and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
  • B. Putty
    Putty is a small rural locality in New South Wales, Australia, known for its forested landscapes and low-density population.
  • C. TeamViewer
    TeamViewer is a German software company best known for its remote access and remote control solutions that allow users to connect to and manage devices over the internet.
  • D. Chatwin
    Chatwin is a surname most notably associated with Bruce Chatwin, the British travel writer and novelist.
  • E. Telegram Sam
    "Telegram Sam" is a 1972 glam rock song by the British band T. Rex, written and performed by Marc Bolan and known for its catchy riff and chart success.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cfb08da88190b07c32652bbc1534 completed April 18, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfea3bc88190acaa013169d607c5 completed May 10, 2026, 6:35 p.m.
Created at: April 10, 2026, 5:31 a.m.