Triple
T17597135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Octoknemaceae |
E428601
|
entity |
| Predicate | relatedOrder |
P37
|
FINISHED |
| Object | Rosales |
—
|
NE NERFINISHED |
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: Rosales | Statement: [Octoknemaceae, relatedOrder, Rosales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosales Context triple: [Octoknemaceae, relatedOrder, Rosales]
-
A.
Rosales
Rosales is a landlocked agricultural and commercial municipality in the province of Pangasinan in the Philippines.
-
B.
Rosales
chosen
Rosales is an order of flowering plants that includes many familiar trees, shrubs, and herbs such as elms, roses, and nettles.
-
C.
Arecales
Arecales is an order of flowering monocot plants that primarily comprises palms and related tropical, woody species.
-
D.
Restionaceae
Restionaceae is a family of rush-like, grass-like flowering plants characteristic of nutrient-poor, fire-prone habitats such as South African fynbos and Australian heaths.
-
E.
Icacinales
Icacinales is an order of flowering plants within the asterid clade, comprising several families of mostly tropical trees, shrubs, and lianas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ec335c8190abcaff700cfff23b |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.