Triple
T26951964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of the Jaguars |
E678798
|
entity |
| Predicate | hasMuralSubject |
P120414
|
FINISHED |
| Object | warriors |
—
|
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: warriors | Statement: [Temple of the Jaguars, hasMuralSubject, warriors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuralSubject Context triple: [Temple of the Jaguars, hasMuralSubject, warriors]
-
A.
hasMuralsDepicting
chosen
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
B.
hasMuralsFrom
Indicates that a location or structure contains murals that originate from or were created in a specified place or time period.
-
C.
hasArtSubjects
Indicates that an entity is associated with one or more subjects or themes within the domain of art.
-
D.
hasSculptureSubject
Indicates that a sculpture depicts, represents, or is thematically focused on a particular subject.
-
E.
hasRockArtSubject
Indicates that something features or is associated with a particular subject depicted in rock 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 27, 2026, 6:25 a.m.