Triple

T6591601
Position Surface form Disambiguated ID Type / Status
Subject Río Maipo E159372 entity
Predicate nearCity P350 FINISHED
Object Melipilla E145223 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: Melipilla | Statement: [Río Maipo, nearCity, Melipilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melipilla
Context triple: [Río Maipo, nearCity, Melipilla]
  • A. Melipilla chosen
    Melipilla is a city and commune in central Chile known for its agricultural production and location southwest of Santiago.
  • B. Melipal
    Melipal is one of the Unit Telescopes of the Very Large Telescope array at ESO’s Paranal Observatory in Chile, used for advanced optical and infrared astronomical observations.
  • C. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • D. Tayassu
    Tayassu is a genus of New World peccaries, medium-sized pig-like mammals native to Central and South American forests and scrublands.
  • E. Mawanella
    Mawanella is a town in central Sri Lanka known as a key transit point on the Colombo–Kandy road and for its surrounding rubber and tea plantations.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aece1f848190a11676e072afb002 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbba656c81909c3876a8f2f7300e completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:55 p.m.