Triple
T10891842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satsuma mandarins |
E257195
|
entity |
| Predicate | seedPresence |
P53246
|
FINISHED |
| Object | usually seedless |
—
|
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: usually seedless | Statement: [Satsuma mandarins, seedPresence, usually seedless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seedPresence Context triple: [Satsuma mandarins, seedPresence, usually seedless]
-
A.
fieldPresence
Indicates that a particular field or attribute exists or is present within a given context, object, or dataset.
-
B.
seedUse
Indicates the use or application of seeds for a particular purpose, such as planting, cultivation, or propagation.
-
C.
fieldPresenceIn
Indicates that something exists or is located within a particular field, area, or domain.
-
D.
hasSeed
chosen
Indicates that one entity contains, produces, or is characterized by the presence of a seed associated with another entity.
-
E.
seedSpace
Indicates a relationship where an entity provides or occupies an initial area, context, or capacity from which growth, development, or further allocation can begin.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.