Triple
T14113309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audiencia of Panama |
E339699
|
entity |
| Predicate | seat |
P75
|
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: [Audiencia of Panama, seat, Panama City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panama City Context triple: [Audiencia of Panama, seat, 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600f992c81908133813f2894dcca |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf04871c8190891605415f1abf7f |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.