Triple
T14575495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago |
E342032
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object |
Santo Iago
Santo Iago is an older Spanish form of the name Santiago, traditionally associated with Saint James and the city that bears his name.
|
E1109221
|
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: Santo Iago | Statement: [Santiago, shortFormOf, Santo Iago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo Iago Context triple: [Santiago, shortFormOf, Santo Iago]
-
A.
São Francisco de Paula
São Francisco de Paula is a town in Brazil’s Rio Grande do Sul state, known for its cool climate, pine forests, and role as a scenic gateway to the Serra Gaúcha highlands.
-
B.
Ciriaco
Ciriaco is a variant of the name of Saint Cyriacus, an early Christian martyr venerated in various Christian traditions.
-
C.
Obispo
Obispo is a prominent summit of the El Altar volcanic complex in the Ecuadorian Andes, known for its rugged alpine terrain and challenging climbing routes.
-
D.
Santo Tomás
Santo Tomás is a town in the Cusco Region of Peru that serves as the administrative and commercial center of Chumbivilcas Province.
-
E.
Santo Tomás
Santo Tomás is a municipality in El Salvador known for its rural character and proximity to the capital, San Salvador.
- 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: Santo Iago Triple: [Santiago, shortFormOf, Santo Iago]
Generated description
Santo Iago is an older Spanish form of the name Santiago, traditionally associated with Saint James and the city that bears his name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santo Iago Target entity description: Santo Iago is an older Spanish form of the name Santiago, traditionally associated with Saint James and the city that bears his name.
-
A.
São Francisco de Paula
São Francisco de Paula is a town in Brazil’s Rio Grande do Sul state, known for its cool climate, pine forests, and role as a scenic gateway to the Serra Gaúcha highlands.
-
B.
Ciriaco
Ciriaco is a variant of the name of Saint Cyriacus, an early Christian martyr venerated in various Christian traditions.
-
C.
Obispo
Obispo is a prominent summit of the El Altar volcanic complex in the Ecuadorian Andes, known for its rugged alpine terrain and challenging climbing routes.
-
D.
Santo Tomás
Santo Tomás is a municipality in El Salvador known for its rural character and proximity to the capital, San Salvador.
-
E.
Santo Tomás
Santo Tomás is a town in the Cusco Region of Peru that serves as the administrative and commercial center of Chumbivilcas Province.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b5d97481908b2d3d531817a3a6 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fda288eea081909b3f4a202e89d221 |
completed | May 8, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fda2fac5fc8190a924c296c74fbf14 |
completed | May 8, 2026, 8:46 a.m. |
Created at: April 10, 2026, 1:24 a.m.