Triple
T27872849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lampetra fluviatilis |
E704833
|
entity |
| Predicate | usesSuction |
P122178
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lampetra fluviatilis, usesSuction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSuction Context triple: [Lampetra fluviatilis, usesSuction, true]
-
A.
hasVacuumSystem
Indicates that one entity is equipped with, or includes as a component, a vacuum system.
-
B.
hasSucker
chosen
Indicates that one entity possesses or is equipped with a sucker used for attachment, adhesion, or suction in relation to another entity.
-
C.
isToolOf
Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
-
D.
usesSwar
Indicates that one entity employs or applies a specific SWAR (software/semantic/web service or resource) in performing an action or fulfilling a function.
-
E.
hasFanUse
Indicates that something is used or operated by a fan (a person who admires or supports it).
- 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_69ef84111bb4819084298f994b31c62f |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 6:25 p.m.