Triple
T6935102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yácata pyramids |
E160533
|
entity |
| Predicate | numberOfMainStructures |
P64710
|
FINISHED |
| Object | five principal yácatas at Tzintzuntzan |
—
|
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: five principal yácatas at Tzintzuntzan | Statement: [Yácata pyramids, numberOfMainStructures, five principal yácatas at Tzintzuntzan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainStructures Context triple: [Yácata pyramids, numberOfMainStructures, five principal yácatas at Tzintzuntzan]
-
A.
hasStructureCount
chosen
Indicates the number of structures associated with or contained by a given entity.
-
B.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified context.
-
C.
massiveStructure
Indicates that an entity is a very large or imposing physical structure in terms of size, scale, or mass.
-
D.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
-
E.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:27 p.m.