Triple
T13396398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psidium |
E319711
|
entity |
| Predicate | hasNotableSpeciesCommonName |
P54673
|
FINISHED |
| Object | common guava |
—
|
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: common guava | Statement: [Psidium, hasNotableSpeciesCommonName, common guava]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSpeciesCommonName Context triple: [Psidium, hasNotableSpeciesCommonName, common guava]
-
A.
commonNameOfNotableSpecies
chosen
Indicates that the subject is a commonly used vernacular or everyday name for a notable or well-known biological species.
-
B.
includesSpeciesCommonName
Indicates that an entity contains or specifies the common (vernacular) name of a species.
-
C.
hasCommonSpecies
Indicates that two entities share at least one species in common.
-
D.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
E.
notableSpeciesGroup
Indicates that an entity is a significant or characteristic member of a particular species group associated with another entity.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d892d08190b1b192b93fe3d72d |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.