Triple
T20082967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cèdre Gouraud forest |
E500047
|
entity |
| Predicate | treeAgeCharacteristic |
P45717
|
FINISHED |
| Object | contains centuries-old cedar trees |
—
|
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: contains centuries-old cedar trees | Statement: [Cèdre Gouraud forest, treeAgeCharacteristic, contains centuries-old cedar trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treeAgeCharacteristic Context triple: [Cèdre Gouraud forest, treeAgeCharacteristic, contains centuries-old cedar trees]
-
A.
treeLongevity
chosen
Indicates the duration or lifespan of a tree, typically measured from planting or germination to death or removal.
-
B.
standAge
Indicates the age or time duration that a particular stand (e.g., a forest stand or grouped vegetation area) has existed or been established.
-
C.
treeVigor
Indicates the overall health, strength, and growth potential of a tree based on its physiological condition and environmental factors.
-
D.
forestCoverCharacteristic
Indicates a relationship where a forested area possesses a specific attribute or quality related to its tree or vegetation cover.
-
E.
leafNumberCharacteristic
Indicates a relationship where an entity is associated with a specific count or quantitative characteristic of its leaves.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655946f48190a6b4cb13ea4e212a |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:41 p.m.