Triple
T2201711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Pyramid of Cholula |
E50502
|
entity |
| Predicate | numberOfConstructionStages |
P7615
|
FINISHED |
| Object | at least 4 main stages |
—
|
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: at least 4 main stages | Statement: [Great Pyramid of Cholula, numberOfConstructionStages, at least 4 main stages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConstructionStages Context triple: [Great Pyramid of Cholula, numberOfConstructionStages, at least 4 main stages]
-
A.
numberOfStages
chosen
Indicates the total count of distinct stages or phases associated with a given process, event, or entity.
-
B.
stages
Indicates that one entity organizes, presents, or sets up another entity (such as an event, performance, or situation) to take place or be displayed.
-
C.
coreStageLength
Indicates the length or duration of the main or primary stage within a multi-stage process or structure.
-
D.
mainConstructionPhaseUnder
Indicates that one construction phase occurs under or is subordinate to another primary construction phase in a project’s timeline or hierarchy.
-
E.
numberOfBuildings
Indicates the total count of buildings associated with a given entity or within a specified 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa1b41c8190b0f7467d0dcdfbcd |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.