Triple
T15329348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entre Ríos |
E366491
|
entity |
| Predicate | bordersProvince |
P224
|
FINISHED |
| Object |
Santa Fe
Santa Fe is a province in northeastern Argentina known for its agricultural productivity, industrial centers, and the major port city of Rosario.
|
E1153766
|
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: Santa Fe | Statement: [Entre Ríos, bordersProvince, Santa Fe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Fe Context triple: [Entre Ríos, bordersProvince, Santa Fe]
-
A.
Santa Fe
Santa Fe is a town on Cuba’s Isla de la Juventud, known as one of the island’s principal local settlements.
-
B.
Santa Fe
Santa Fe is the capital city of New Mexico, known for its Pueblo-style architecture, vibrant arts scene, and rich blend of Native American and Spanish colonial history.
-
C.
Santa Fe
Santa Fe is a major modern business and financial district in western Mexico City known for its corporate offices, upscale shopping centers, and contemporary high-rise architecture.
-
D.
Santa Fe
Santa Fe was a major American railroad company that played a key role in the development and transportation infrastructure of the western United States.
-
E.
Santa Fe
Santa Fe is a small coastal municipality in the island province of Romblon in the Philippines, known for its rural communities and surrounding marine scenery.
- 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: Santa Fe Triple: [Entre Ríos, bordersProvince, Santa Fe]
Generated description
Santa Fe is a province in northeastern Argentina known for its agricultural productivity, industrial centers, and the major port city of Rosario.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Fe Target entity description: Santa Fe is a province in northeastern Argentina known for its agricultural productivity, industrial centers, and the major port city of Rosario.
-
A.
Santa Fe
Santa Fe is a historic Argentine city and provincial capital known for its colonial heritage and strategic location on the Paraná River.
-
B.
Santa Fe
Santa Fe is the capital city of New Mexico, known for its Pueblo-style architecture, vibrant arts scene, and rich blend of Native American and Spanish colonial history.
-
C.
Santa Fe
Santa Fe is a town on Cuba’s Isla de la Juventud, known as one of the island’s principal local settlements.
-
D.
Santa Fe
Santa Fe is a small coastal municipality in the island province of Romblon in the Philippines, known for its rural communities and surrounding marine scenery.
-
E.
Santa Fe
Santa Fe is a major modern business and financial district in western Mexico City known for its corporate offices, upscale shopping centers, and contemporary high-rise architecture.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b3f8eac81908489baeb4cb6bb53 |
completed | May 9, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69ff0c1171d4819099e0d0e1411059b2 |
completed | May 9, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff10a360f8819098c8c9700b062478 |
completed | May 9, 2026, 10:46 a.m. |
Created at: April 10, 2026, 3:16 a.m.