Triple
T22113832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orchid Forest Cikole |
E546485
|
entity |
| Predicate | hasTypeOfOrchid |
P147032
|
FINISHED |
| Object | local orchid species |
—
|
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: local orchid species | Statement: [Orchid Forest Cikole, hasTypeOfOrchid, local orchid species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfOrchid Context triple: [Orchid Forest Cikole, hasTypeOfOrchid, local orchid species]
-
A.
hasPetalType
Indicates that an entity possesses petals characterized by a specific type or form.
-
B.
hasFrondType
Indicates that one entity possesses or is characterized by a specific type or form of frond.
-
C.
hasOracleOf
Indicates that one entity serves as a prophetic or divinatory source (an oracle) for another entity.
-
D.
hasOrchestraType
Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
-
E.
isCherrySpecies
Indicates that one entity is a biological species classified as a type of cherry in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294b9d5c8190897b760ca4f3b09a |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:31 p.m.