Triple

T11378784
Position Surface form Disambiguated ID Type / Status
Subject Pallatanga E269536 entity
Predicate capitalOf P204 FINISHED
Object Pallatanga Canton E269536 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: Pallatanga Canton | Statement: [Pallatanga, capitalOf, Pallatanga Canton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pallatanga Canton
Context triple: [Pallatanga, capitalOf, Pallatanga Canton]
  • A. Nobol Canton
    Nobol Canton is an administrative subdivision in Ecuador’s Guayas Province, known for its agricultural activities and location within the coastal lowlands.
  • B. Fenyi County
    Fenyi County is an administrative county under the jurisdiction of Xinyu City in Jiangxi Province, China, known for its mix of rural landscapes and developing industry.
  • C. Pallatanga chosen
    Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
  • D. Tapolca District
    Tapolca District is an administrative district in western Hungary, centered on the town of Tapolca and known for its scenic landscapes near Lake Balaton.
  • E. Zala County
    Zala County is an administrative region in southwestern Hungary known for its rolling hills, thermal spas, and proximity to Lake Balaton and the Croatian border.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.