Triple
T12214183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liliales |
E291040
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Liliaceae |
E285068
|
NE 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: Liliaceae | Statement: [Liliales, contains, Liliaceae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liliaceae Context triple: [Liliales, contains, Liliaceae]
-
A.
Liliaceae
chosen
Liliaceae is a family of flowering monocot plants that includes many well-known ornamental and bulbous species such as lilies and tulips.
-
B.
Iridaceae
Iridaceae is a family of flowering plants known for its showy, often iris-like flowers and includes many ornamental garden species.
-
C.
Colchicaceae
Colchicaceae is a family of flowering plants in the order Liliales, best known for bulbous or cormous species that often contain the alkaloid colchicine.
-
D.
Amaryllidaceae
Amaryllidaceae is a family of flowering monocot plants that includes many ornamental and bulb-forming species such as daffodils, snowdrops, and amaryllis.
-
E.
Ranunculaceae
Ranunculaceae is a large family of mostly herbaceous flowering plants, including buttercups, clematis, and columbines, known for their often showy but sometimes toxic flowers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c931cec819083ca19be06a33e1c |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa13f64819096dc23295a6f0cdb |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:51 p.m.