Triple

T9091792
Position Surface form Disambiguated ID Type / Status
Subject Santiago Province E217904 entity
Predicate contains P35 FINISHED
Object La Cisterna E59987 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: La Cisterna | Statement: [Santiago Province, contains, La Cisterna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Cisterna
Context triple: [Santiago Province, contains, La Cisterna]
  • A. La Cisterna chosen
    La Cisterna is a major southern Santiago Metro station and transport hub that connects multiple metro lines with extensive bus services in Santiago, Chile.
  • B. The Ruins
    The Ruins is a 2008 horror film, based on Scott Smith’s novel, about a group of tourists trapped at an isolated Mayan ruin menaced by a malevolent, sentient vine.
  • C. The Cellar
    The Cellar is the original title of the 2016 psychological thriller film that was later released as 10 Cloverfield Lane.
  • D. Sea of Thirst
    Sea of Thirst is a vast, dust-filled lunar basin in Arthur C. Clarke’s science fiction novel "A Fall of Moondust," serving as the perilous setting for the story’s central disaster.
  • E. La Soif
    La Soif is the debut novel of Algerian writer Assia Djebar, exploring themes of female identity, desire, and colonial society in mid-20th-century Algeria.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b18b24819097b525ddad3a85c0 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017ecc8b4819094dc0b009484ec00 completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.