Triple
T5464136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American lobster |
E122663
|
entity |
| Predicate | averageCommercialSize |
P3664
|
FINISHED |
| Object | about 0.7–1.4 kilograms |
—
|
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: about 0.7–1.4 kilograms | Statement: [American lobster, averageCommercialSize, about 0.7–1.4 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageCommercialSize Context triple: [American lobster, averageCommercialSize, about 0.7–1.4 kilograms]
-
A.
commercialArea
Indicates that the location or region is designated primarily for commercial activities such as businesses, shops, or services.
-
B.
standardArea
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
-
C.
typicalUnitSize
chosen
Indicates the standard or most common size or quantity in which something is typically measured, packaged, or used.
-
D.
commercialArm
Indicates that an entity functions as the business or revenue-generating division/branch of another organization.
-
E.
mediumAppearance
Indicates that an entity appears in or is featured within a particular medium (such as a work, format, or communication channel).
- F. None of above.
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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.