Triple
T21521688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pómac Forest Historical Sanctuary |
E530990
|
entity |
| Predicate | hasNumberOfPyramids |
P54284
|
FINISHED |
| Object | approximately 20 |
—
|
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: approximately 20 | Statement: [Pómac Forest Historical Sanctuary, hasNumberOfPyramids, approximately 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfPyramids Context triple: [Pómac Forest Historical Sanctuary, hasNumberOfPyramids, approximately 20]
-
A.
numberOfPyramids
chosen
Indicates the quantity of pyramids associated with a given entity or context.
-
B.
hasPyramid
Indicates that one entity possesses, contains, or features a pyramid in relation to another entity.
-
C.
hasPyramidStructure
Indicates that something possesses or exhibits a pyramid-like hierarchical or geometric structure.
-
D.
hasPyramidHeight
Indicates that one entity has a specified height measurement associated with a pyramid.
-
E.
hasPylonCount
Indicates the relationship specifying how many pylons are associated with or present in 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884cff5881908d93a54578e7b1b0 |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:26 p.m.