Triple
T3373078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariposa Grove of Giant Sequoias |
E70998
|
entity |
| Predicate | treeAgeRange |
P2736
|
FINISHED |
| Object | several hundred to over 2,000 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: several hundred to over 2,000 years | Statement: [Mariposa Grove of Giant Sequoias, treeAgeRange, several hundred to over 2,000 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeAgeRange Context triple: [Mariposa Grove of Giant Sequoias, treeAgeRange, several hundred to over 2,000 years]
-
A.
treeLongevity
Indicates the duration or lifespan of a tree, typically measured from planting or germination to death or removal.
-
B.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
C.
maturityRange
Indicates the span or limits of maturity (such as age, development stage, or readiness) within which the related entities or conditions are considered applicable.
-
D.
vineAge
Indicates the age or length of time that a vine has been growing or established.
-
E.
countsYearsFrom
Indicates a temporal relationship where the number of years is measured starting from a specified reference point or event.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bdcf70819087fc7e00fbd61e0d |
completed | March 8, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.