Triple
T9651799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro del Cubilete |
E233351
|
entity |
| Predicate | hasArtStyleAtSummit |
P8666
|
FINISHED |
| Object | Art Deco elements in Cristo Rey monument |
—
|
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: Art Deco elements in Cristo Rey monument | Statement: [Cerro del Cubilete, hasArtStyleAtSummit, Art Deco elements in Cristo Rey monument]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtStyleAtSummit Context triple: [Cerro del Cubilete, hasArtStyleAtSummit, Art Deco elements in Cristo Rey monument]
-
A.
hasFlatSummit
Indicates that the subject has a summit or top surface that is flat rather than pointed or rounded.
-
B.
hasSummitFeature
chosen
Indicates that a summit (or peak) possesses a particular characteristic, attribute, or notable feature.
-
C.
hasSummitMarker
Indicates that a location or peak is marked by an official summit marker or sign denoting its highest point.
-
D.
hasSummit
Indicates that one entity possesses, features, or includes a summit or highest point as part of its structure or characteristics.
-
E.
hasStreetArtStyle
Indicates that something exhibits characteristics or aesthetics associated with a particular style of street art.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bb0cce88190b7eacc8b43450d7f |
completed | April 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b0263081908cf6df3eb07d71b0 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:13 p.m.