Triple
T9736151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint James |
E236066
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Santiago (Spanish) |
E342155
|
NE FINISHED |
How this triple was built (2 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: Santiago (Spanish) | Statement: [Saint James, hasNameInLanguage, Santiago (Spanish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santiago (Spanish) Context triple: [Saint James, hasNameInLanguage, Santiago (Spanish)]
-
A.
Española
Española is the former Spanish name for the Caribbean island now known as Hispaniola, which is shared by Haiti and the Dominican Republic.
-
B.
Juan (Spanish)
Juan is the Spanish given name equivalent to the English name John, widely used across Spanish-speaking countries.
-
C.
Santiago
Santiago is a common Spanish given name used across many Spanish-speaking countries and cultures.
-
D.
Santiago
Santiago is a town in Ecuador that serves as one of the settlements within Morona-Santiago Province in the Amazonian region.
-
E.
Santiago
chosen
Santiago is a common Spanish given name, historically associated with Saint James and widely used across the Spanish-speaking world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afce9834819090949690b4ca8622 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:22 p.m.