Triple
T20923030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acacia |
E515262
|
entity |
| Predicate | hasMutualism |
P18579
|
FINISHED |
| Object | ants (in some species) |
—
|
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: ants (in some species) | Statement: [Acacia, hasMutualism, ants (in some species)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMutualism Context triple: [Acacia, hasMutualism, ants (in some species)]
-
A.
notableMutualism
Indicates a significant mutually beneficial relationship between two entities, where each provides important advantages or services to the other.
-
B.
containsSymbioticAssociationsWith
chosen
Indicates that one entity includes or encompasses another entity with which it maintains a symbiotic (mutually dependent or beneficial) biological relationship.
-
C.
hasCompanionSpecies
Indicates that one entity is accompanied by, or exists in association with, another entity of a different species.
-
D.
cohabitsWith
Indicates that two entities live together in the same dwelling or shared residence.
-
E.
interactionWithOtherSpecies
Indicates a relationship where an entity engages in some form of contact, influence, or exchange with members of a different species.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f64f767481909deccd77b50bf4ae |
completed | April 21, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:49 p.m.