Triple
T7254546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Museum of Costa Rica |
E157684
|
entity |
| Predicate | buildingFunctionBeforeMuseum |
P75583
|
FINISHED |
| Object | military barracks |
—
|
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: military barracks | Statement: [National Museum of Costa Rica, buildingFunctionBeforeMuseum, military barracks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingFunctionBeforeMuseum Context triple: [National Museum of Costa Rica, buildingFunctionBeforeMuseum, military barracks]
-
A.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
-
B.
builtMonument
Indicates that one entity constructed or created a monument in honor of, or related to, another entity.
-
C.
buildingFunctionDuring
Indicates the role or purpose a building serves during a specified time period or interval.
-
D.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
-
E.
operatesMuseum
Indicates that one entity manages and runs the day-to-day operations of a museum.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c6e889854481908c765ce2107f2d3a |
completed | March 27, 2026, 8:28 p.m. |
Created at: March 27, 2026, 2:56 p.m.