Triple
T7254610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Theatre of Costa Rica |
E157685
|
entity |
| Predicate | significantPlaceIn |
P10233
|
FINISHED |
| Object | cultural life of Costa Rica |
—
|
LITERAL 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: cultural life of Costa Rica | Statement: [National Theatre of Costa Rica, significantPlaceIn, cultural life of Costa Rica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantPlaceIn Context triple: [National Theatre of Costa Rica, significantPlaceIn, cultural life of Costa Rica]
-
A.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
-
B.
notablePlace
chosen
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
C.
isHistoricPlace
Indicates that a place holds recognized historical significance, often due to its age, events, or cultural importance.
-
D.
significantBuilding
Indicates that a building holds notable importance, prominence, or special status within a particular context (e.g., historical, cultural, architectural, or functional).
-
E.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
- F. None of above.
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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea9f55b4819081a43e7a01eda154 |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.