Triple
T3801331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palacio Nacional de la Cultura |
E91693
|
entity |
| Predicate | significantArtwork |
P16613
|
FINISHED |
| Object | murals depicting Guatemalan history |
—
|
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: murals depicting Guatemalan history | Statement: [Palacio Nacional de la Cultura, significantArtwork, murals depicting Guatemalan history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantArtwork Context triple: [Palacio Nacional de la Cultura, significantArtwork, murals depicting Guatemalan history]
-
A.
hasArtHistoricalSignificance
chosen
Indicates that something holds notable importance or influence within the context of art history.
-
B.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
-
C.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
D.
significantFigureInArtistLife
Indicates that one entity played an important or influential role in the life or career of the artist entity.
-
E.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
- 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_69aed96354f48190a768966d6bd19b04 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8db8a288190afd1e3b9dcf02e97 |
completed | March 9, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69aee7461abc8190945716f4b93e1a18 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.