Triple
T24728479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Instituto Cultural Cabañas |
E618218
|
entity |
| Predicate | notableMuralCycle |
P167242
|
FINISHED |
| Object | El hombre de fuego |
—
|
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: El hombre de fuego | Statement: [Instituto Cultural Cabañas, notableMuralCycle, El hombre de fuego]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableMuralCycle Context triple: [Instituto Cultural Cabañas, notableMuralCycle, El hombre de fuego]
-
A.
notableMural
Indicates that an entity is a mural distinguished by particular significance, prominence, or recognition.
-
B.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
-
C.
artistOfMurals
Indicates that an entity creates or is responsible for producing murals.
-
D.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
E.
streetArtHotspot
Indicates a location is known for having a notable concentration of street art or graffiti activity.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 18, 2026, 4:01 a.m.