Triple
T22515562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red de San Luis square |
E556636
|
entity |
| Predicate | toponymContains |
P67829
|
FINISHED |
| Object |
San Luis
San Luis is a city in central Argentina that serves as the capital of San Luis Province and is known for its colonial architecture and surrounding mountainous landscapes.
|
E1541530
|
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: San Luis | Statement: [Red de San Luis square, toponymContains, San Luis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Luis Context triple: [Red de San Luis square, toponymContains, San Luis]
-
A.
San Luis
San Luis is a Chilean football club based in the city of Quillota, known for competing in the country’s professional league system.
-
B.
San Luis
San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
-
C.
San Luis
San Luis is a province in central Argentina known for its mountainous landscapes, arid climate, and role in the country’s early independence era.
-
D.
San Luis
San Luis is a town on the southeastern coast of Menorca in Spain’s Balearic Islands, known for its whitewashed architecture and nearby beaches.
-
E.
San Luis
San Luis is a town and municipality located in the Comayagua Department of central Honduras.
- 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: San Luis Triple: [Red de San Luis square, toponymContains, San Luis]
Generated description
San Luis is a city in central Argentina that serves as the capital of San Luis Province and is known for its colonial architecture and surrounding mountainous landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Luis Target entity description: San Luis is a city in central Argentina that serves as the capital of San Luis Province and is known for its colonial architecture and surrounding mountainous landscapes.
-
A.
San Luis
San Luis is a province in central Argentina known for its mountainous landscapes, arid climate, and role in the country’s early independence era.
-
B.
San Luis
San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
-
C.
San Luis
San Luis is a town on the southeastern coast of Menorca in Spain’s Balearic Islands, known for its whitewashed architecture and nearby beaches.
-
D.
San Luis
San Luis is a coastal municipality in the Philippine province of Batangas known for its agricultural economy and small-town rural character.
-
E.
San Luis
San Luis is a Chilean football club based in the city of Quillota, known for competing in the country’s professional league system.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2cfc908190b3489228a1997f45 |
completed | April 29, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1dd63018819098374bfcc2e0fd15 |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1ef5d46481909a33c158e1c6283e |
completed | May 18, 2026, 2:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1f662ba48190a1d29ffe46b7e4a2 |
completed | May 18, 2026, 2:17 p.m. |
Created at: April 16, 2026, 8:50 p.m.