Triple
T35490725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | wunderpus octopus |
E1025723
|
entity |
| Predicate | individualIdentification |
P107472
|
FINISHED |
| Object | possible by unique body pattern |
—
|
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: possible by unique body pattern | Statement: [wunderpus octopus, individualIdentification, possible by unique body pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: individualIdentification Context triple: [wunderpus octopus, individualIdentification, possible by unique body pattern]
-
A.
identifiedUsing
chosen
Indicates that one entity was recognized, distinguished, or determined by means of a specified method, tool, or identifier.
-
B.
identifiedIn
Indicates that an entity is recognized, discovered, or documented within a specified source, context, or location.
-
C.
identificationType
Indicates the specific kind or category of identification associated with an entity or relationship.
-
D.
primaryIdentification
Indicates that one identifier is the main or officially recognized identification for an entity among possibly multiple identifiers.
-
E.
identifierFor
Indicates that one entity serves as a unique identifying label or code for 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.