Triple
T6879555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern White Pine |
E158755
|
entity |
| Predicate | needleRetention |
P40021
|
FINISHED |
| Object | evergreen, retaining needles for several 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: evergreen, retaining needles for several years | Statement: [Eastern White Pine, needleRetention, evergreen, retaining needles for several years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: needleRetention Context triple: [Eastern White Pine, needleRetention, evergreen, retaining needles for several years]
-
A.
inning
Indicates a specific segment or period within a game during which a defined portion of play or action occurs.
-
B.
keptIn
Indicates that one entity is stored, contained, or maintained inside another entity as its location or container.
-
C.
retentionMethod
Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
-
D.
leafRetention
chosen
Indicates whether an entity retains its leaves (e.g., remains evergreen) or sheds them seasonally.
-
E.
permanence
Indicates that a state, condition, or relationship continues to hold over time without significant change or interruption.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8e60f94819086315b1dd2ea7a3e |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.