Triple

T14661169
Position Surface form Disambiguated ID Type / Status
Subject Guna of Madungandí E344240 entity
Predicate spokenIn P2266 FINISHED
Object Madungandí E78555 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: Madungandí | Statement: [Guna of Madungandí, spokenIn, Madungandí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madungandí
Context triple: [Guna of Madungandí, spokenIn, Madungandí]
  • A. Madugandí chosen
    Madugandí is an indigenous comarca (autonomous territory) in Panama inhabited primarily by the Guna (Kuna) people.
  • B. Tumbalá
    Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
  • C. Fiambalá
    Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
  • D. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • E. Tatengue
    Tatengue is the popular nickname of Club Atlético Unión, a traditional football club from Santa Fe, Argentina.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51c84448190a1f5fa9ab8a1e2c4 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde175db5881908f88d2b3fd72bb52 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.