Triple

T12130778
Position Surface form Disambiguated ID Type / Status
Subject Chagres National Park E288928 entity
Predicate nearCity P350 FINISHED
Object Panama City E16091 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: Panama City | Statement: [Chagres National Park, nearCity, Panama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panama City
Context triple: [Chagres National Park, nearCity, Panama City]
  • A. Panama City chosen
    Panama City is the largest urban center and economic hub of Panama, known for its modern skyline, historic Casco Viejo district, and proximity to the Panama Canal.
  • B. Panama City
    Panama City is a coastal city in the Florida Panhandle known for its white-sand beaches, tourism, and access to the Gulf of Mexico.
  • C. Panam City
    Panam City is a historic, centuries-old urban settlement in Sonargaon, Bangladesh, renowned for its abandoned colonial-era mansions and role as a former trading and administrative center.
  • D. Puerto Cortés
    Puerto Cortés is a major Honduran Caribbean port city known as one of Central America’s busiest and most important maritime hubs.
  • E. Puerto Inírida
    Puerto Inírida is a remote Colombian river port city and the capital of Guainía Department, known as a gateway to the Amazon and Orinoco basins and for its surrounding rainforest and Indigenous communities.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.