Triple
T21519783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brünnich's guillemot |
E530941
|
entity |
| Predicate | colonyDensity |
P144692
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Brünnich's guillemot, colonyDensity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonyDensity Context triple: [Brünnich's guillemot, colonyDensity, high]
-
A.
colonySize
Indicates the number of individuals or units that make up a colony in the described context.
-
B.
colonyDependence
Indicates that one entity functions as a colony that is politically, economically, or administratively dependent on another entity.
-
C.
colonyType
Indicates the specific classification or kind of colony associated with an entity (e.g., its organizational or structural type).
-
D.
colonyAtTime
Indicates that one entity exists as a colony of another entity during a specified time or time interval.
-
E.
colonyStatus
Indicates the political or administrative condition of a territory in relation to a colonizing power, such as whether it is a colony, former colony, or non-colonial.
- 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.