Triple
T25598609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Kukulkan |
E641724
|
entity |
| Predicate | numberOfStepsPerStairway |
P1275
|
FINISHED |
| Object | 91 |
—
|
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: 91 | Statement: [Temple of Kukulkan, numberOfStepsPerStairway, 91]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStepsPerStairway Context triple: [Temple of Kukulkan, numberOfStepsPerStairway, 91]
-
A.
numberOfStairs
chosen
Indicates the quantity of stairs associated with or present in a given context or structure.
-
B.
numberOfStaircases
Indicates the quantity of distinct staircases associated with or present in a given entity or location.
-
C.
hasStairway
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
D.
hasNumberOfStepsPerGrade
Indicates the specific count of steps associated with each grade level in a graded scale or hierarchy.
-
E.
hasStairFunction
Indicates that one entity serves as a stair-related functional feature (e.g., providing access via stairs) for another entity.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7b2f3a104819098ddd8909eaf596c |
completed | May 3, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
Created at: April 21, 2026, 4:29 p.m.