Triple
T21468677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle Central |
E529663
|
entity |
| Predicate | countryCapitalNearby |
P33891
|
FINISHED |
| Object | Santiago |
—
|
NE NERFINISHED |
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 | Statement: [Valle Central, countryCapitalNearby, Santiago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santiago Context triple: [Valle Central, countryCapitalNearby, Santiago]
-
A.
Santiago
Santiago is the largest and most populous island of Cape Verde, home to the nation’s capital city, Praia, and its main political and economic activities.
-
B.
Santiago
Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
-
C.
Santiago
Santiago is the surname of Puerto Rican Latin trap and reggaeton artist Anuel AA, whose full name is Emmanuel Gazmey Santiago.
-
D.
Santiago
chosen
Santiago is a city in western Guatemala near the Santiaguito lava dome complex, known for its proximity to significant volcanic activity.
-
E.
Santiago
Santiago is a song by the American jazz trio The Bad Plus from their album "So It Is."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f58f6c8190a3d2fc8f820a9925 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:16 p.m.