Triple
T34747024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lecythis |
E1001663
|
entity |
| Predicate | hasSeedCharacteristic |
P201313
|
FINISHED |
| Object | edible seeds |
—
|
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: edible seeds | Statement: [Lecythis, hasSeedCharacteristic, edible seeds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeedCharacteristic Context triple: [Lecythis, hasSeedCharacteristic, edible seeds]
-
A.
hasSeed
Indicates that one entity contains, produces, or is characterized by the presence of a seed associated with another entity.
-
B.
hasSeedShape
Indicates that one entity possesses seeds that have a particular geometric or morphological shape specified by the other entity.
-
C.
hasSeedCount
Indicates that an entity possesses a specific number of seeds.
-
D.
hasSeeding
Indicates that an entity is assigned or associated with a specific seeding position or rank, typically for ordering or placement in a competitive or structured context.
-
E.
seedConeCharacteristic
Indicates the specific traits or features associated with a plant’s seed cones.
- 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_69f76db0367081909b57c50a7fb03025 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
| PDg | Predicate description generation | batch_69ffe8eb47d48190acf7794ebe3ef4b8 |
completed | May 10, 2026, 2:09 a.m. |
Created at: May 3, 2026, 3:59 p.m.