Triple
T10968203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran Museo del Mundo Maya |
E259161
|
entity |
| Predicate | significantBuildingShapeInspiredBy |
P48023
|
FINISHED |
| Object | ceiba tree |
—
|
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: ceiba tree | Statement: [Gran Museo del Mundo Maya, significantBuildingShapeInspiredBy, ceiba tree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: significantBuildingShapeInspiredBy Context triple: [Gran Museo del Mundo Maya, significantBuildingShapeInspiredBy, ceiba tree]
-
A.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
B.
buildingShape
Indicates the geometric form or outline that characterizes a building’s overall structure.
-
C.
eraOfManyBuildings
Indicates a time period during which many buildings were constructed or existed.
-
D.
hasIconicRoofShape
Indicates that an entity possesses a roof with a distinctive, widely recognized, or characteristic shape.
-
E.
architecturalSymbol
chosen
Indicates that one entity serves as a symbolic or emblematic representation of another within an architectural context.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719800388190943a0bffa48a2731 |
completed | April 9, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.