Triple
T33071770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polyforum Cultural Siqueiros |
E846252
|
entity |
| Predicate | hasExteriorMurals |
P167281
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Polyforum Cultural Siqueiros, hasExteriorMurals, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExteriorMurals Context triple: [Polyforum Cultural Siqueiros, hasExteriorMurals, yes]
-
A.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
-
B.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
C.
hasArtOrMurals
Indicates that one entity features or contains artworks or murals associated with another entity.
-
D.
hasWallPaintingsOn
chosen
Indicates that wall paintings are present on or applied to a specified surface or structure.
-
E.
areaOfMurals
Indicates the geographic or spatial area within which the murals are located or distributed.
- 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:25 a.m.