Triple
T4434445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Patterson Park and Museum |
E95612
|
entity |
| Predicate | timeDepthOfInterpretation |
P40474
|
FINISHED |
| Object | over 9,000 years |
—
|
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: over 9,000 years | Statement: [Jefferson Patterson Park and Museum, timeDepthOfInterpretation, over 9,000 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeDepthOfInterpretation Context triple: [Jefferson Patterson Park and Museum, timeDepthOfInterpretation, over 9,000 years]
-
A.
hasTimeDepth
chosen
Indicates that something possesses or spans a measurable extent of time, such as duration, historical depth, or temporal layering.
-
B.
testDepth
Indicates that an entity is evaluated or measured based on how deep or thorough it is, often in terms of levels, layers, or extent below a surface or baseline.
-
C.
depth
Indicates the vertical distance from a reference surface or top point down to a lower point or bottom within a medium or space.
-
D.
inceptionTime
Indicates the specific point in time when an entity, event, or relationship begins or is first established.
-
E.
reachedDepth
Indicates that an entity has arrived at or attained a specified depth level in some medium or 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35588e99881908fea7b71a33e2bb6 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.