Triple
T1818384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IR64 |
E40486
|
entity |
| Predicate | hasPanicleType |
P32636
|
FINISHED |
| Object | compact panicle |
—
|
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: compact panicle | Statement: [IR64, hasPanicleType, compact panicle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanicleType Context triple: [IR64, hasPanicleType, compact panicle]
-
A.
hasFruitType
Indicates that an entity possesses or is associated with a specific type or category of fruit.
-
B.
hasParticleType
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
-
C.
hasWattles
Indicates that an entity possesses wattles, which are fleshy, often hanging skin structures typically found on the head or neck.
-
D.
hasPhloem
Indicates that one entity possesses or contains phloem tissue used for transporting nutrients in plants.
-
E.
hasSternType
Indicates that an entity (typically a vessel) possesses a specific type or design of stern.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba67554788190b429f2b9f0a70310 |
completed | March 7, 2026, 4:15 a.m. |
Created at: March 4, 2026, 7:32 p.m.