Triple
T845533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ñuble Region |
E18267
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
San Carlos
San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
|
E110192
|
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 Carlos | Statement: [Ñuble Region, containsCity, San Carlos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Carlos Context triple: [Ñuble Region, containsCity, San Carlos]
-
A.
San Carlos
San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
-
B.
San Carlos
San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
-
C.
San Felipe
San Felipe is a historic city in central Chile known for its agricultural surroundings and role as a commercial and administrative center in the Aconcagua Valley.
-
D.
San Luis
San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
-
E.
Colonia Juárez
Colonia Juárez is a historic and centrally located neighborhood in Mexico City known for its eclectic architecture, cultural venues, and vibrant commercial and nightlife scenes.
- 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 Carlos Triple: [Ñuble Region, containsCity, San Carlos]
Generated description
San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Carlos Target entity description: San Carlos is a Chilean city known as an agricultural and commercial center in the Ñuble Region.
-
A.
San Carlos
San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
-
B.
San Carlos
San Carlos is a Nicaraguan town that serves as a key river and lake port near the southeastern end of Lake Nicaragua.
-
C.
San Felipe
San Felipe is a historic city in central Chile known for its agricultural surroundings and role as a commercial and administrative center in the Aconcagua Valley.
-
D.
San Luis
San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
-
E.
Colonia Juárez
Colonia Juárez is a historic and centrally located neighborhood in Mexico City known for its eclectic architecture, cultural venues, and vibrant commercial and nightlife scenes.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac0a91e48190b4349ae8bb67fd90 |
completed | March 1, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7edfe79bc8190bcfb89f4bbc1feb4 |
completed | March 4, 2026, 8:31 a.m. |
| NEDg | Description generation | batch_69a80a93f1f081909ca6a76346fd607e |
completed | March 4, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a80aecb32c81908456b38f0d4603ef |
completed | March 4, 2026, 10:35 a.m. |
Created at: March 1, 2026, 7:38 p.m.