Triple
T21519782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brünnich's guillemot |
E530941
|
entity |
| Predicate | nestsInColonies |
P144691
|
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: [Brünnich's guillemot, nestsInColonies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nestsInColonies Context triple: [Brünnich's guillemot, nestsInColonies, true]
-
A.
colonyCastes
Indicates a relationship where a colony is organized into distinct social or functional castes or roles.
-
B.
usedInColony
Indicates that something is utilized or applied within the context of a colony.
-
C.
hasWingedCaste
Indicates that within a group or species, there exists a distinct subset of individuals that possess wings as a defining characteristic.
-
D.
colonyType
Indicates the specific classification or kind of colony associated with an entity (e.g., its organizational or structural type).
-
E.
hasColonyStructure
Indicates that an entity exhibits an organized colony form or structural arrangement characteristic of colonial living.
- F. None of above. chosen
Provenance (4 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884af0f08190bc1f3d70e57a325d |
completed | April 26, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:26 p.m.