Triple
T13769240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cortés Department |
E330832
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Puerto Cortés |
E378787
|
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: Puerto Cortés | Statement: [Cortés Department, containsCity, Puerto Cortés]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puerto Cortés Context triple: [Cortés Department, containsCity, Puerto Cortés]
-
A.
Puerto Cortés
chosen
Puerto Cortés is a major Honduran Caribbean port city known as one of Central America’s busiest and most important maritime hubs.
-
B.
Puerto de La Ceiba
Puerto de La Ceiba is the main maritime port serving the coastal Honduran city of La Ceiba, handling regional passenger and cargo traffic in the Caribbean.
-
C.
Puerto La Victoria
Puerto La Victoria is a riverside town in Paraguay situated along the Paraguay River, serving as a local hub for transport and river-based commerce.
-
D.
Puerto Nuevo
Puerto Nuevo is a small lakeside settlement in southern Chile situated on the shores of Ranco Lake.
-
E.
Puerto Armuelles
Puerto Armuelles is a coastal Panamanian town on the Pacific Ocean known historically for its banana industry and port activities.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a866e7cc8190a0381f4469193b6e |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.