Triple
T17366590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecballium elaterium |
E422201
|
entity |
| Predicate | fruitLength |
P127208
|
FINISHED |
| Object | approximately 3–5 cm |
—
|
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: approximately 3–5 cm | Statement: [Ecballium elaterium, fruitLength, approximately 3–5 cm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fruitLength Context triple: [Ecballium elaterium, fruitLength, approximately 3–5 cm]
-
A.
leafSize
Indicates the size or dimensions of a leaf in relation to a plant or tree.
-
B.
frontLength
Indicates the length measurement of the front side or edge of an object relative to its overall dimensions.
-
C.
fruitAdheresTo
Indicates that a fruit is physically attached or sticks to another surface or object.
-
D.
fruitEnclosure
Indicates a relationship where an enclosure, container, or structure is specifically used to hold, protect, or surround fruit.
-
E.
formLength
Indicates the length or extent of a form, typically measured in units such as characters, fields, or physical dimensions.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a50c9ec8190b518fdf80808af53 |
completed | April 19, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:44 a.m.