Triple
T6495826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entre Ríos Province |
E148156
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Colón
Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
|
E595344
|
NE FINISHED |
How this triple was built (4 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: Colón | Statement: [Entre Ríos Province, containsCity, Colón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colón Context triple: [Entre Ríos Province, containsCity, Colón]
-
A.
Colón
Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
-
B.
Colón
Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
-
C.
Cristóbal Colón de Toledo
Cristóbal Colón de Toledo was a Spanish nobleman and descendant of Christopher Columbus, belonging to the prominent Colón family that held titles and estates in the New World.
-
D.
Diego Columbus
Diego Columbus was the eldest legitimate son of Christopher Columbus who became a Spanish colonial governor in the Caribbean, notably serving as Viceroy of the Indies.
-
E.
Portolá
Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Colón Triple: [Entre Ríos Province, containsCity, Colón]
Generated description
Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colón Target entity description: Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
-
A.
Colón
Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
-
B.
Colón
Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
-
C.
Cristóbal Colón de Toledo
Cristóbal Colón de Toledo was a Spanish nobleman and descendant of Christopher Columbus, belonging to the prominent Colón family that held titles and estates in the New World.
-
D.
Diego Columbus
Diego Columbus was the eldest legitimate son of Christopher Columbus who became a Spanish colonial governor in the Caribbean, notably serving as Viceroy of the Indies.
-
E.
Portolá
Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
- F. None of above. chosen
Provenance (5 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab958808190bd85e007e925ffc4 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653c414f08190be64a337fc936a6f |
completed | March 27, 2026, 9:54 a.m. |
| NEDg | Description generation | batch_69c654dd4a4881909bdc30a43ec96453 |
completed | March 27, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6559ef2a48190aae55204cadea11c |
completed | March 27, 2026, 10:02 a.m. |
Created at: March 22, 2026, 4:53 p.m.