Triple

T17357726
Position Surface form Disambiguated ID Type / Status
Subject Tocumen E421981 entity
Predicate locatedIn P40 FINISHED
Object Panama City NE ONNED1

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: [Tocumen, locatedIn, Panama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panama City
Context triple: [Tocumen, locatedIn, Panama City]
  • A. 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.
  • B. 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.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4a37788190b330b7207aa424b6 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955e4cb481909e3193439bb85cd8 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.