Triple
T9940769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macquarie Island |
E194073
|
entity |
| Predicate | supportsBreedingPopulationOf |
P30476
|
FINISHED |
| Object | royal penguin |
—
|
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: royal penguin | Statement: [Macquarie Island, supportsBreedingPopulationOf, royal penguin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBreedingPopulationOf Context triple: [Macquarie Island, supportsBreedingPopulationOf, royal penguin]
-
A.
supportsPopulation
Indicates that one entity provides the necessary conditions or resources for a population of another entity to exist, persist, or thrive.
-
B.
supportedPopulation
Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
-
C.
breedingStatus
Indicates the reproductive condition or phase an entity is currently in, such as whether it is capable of, engaged in, or excluded from breeding.
-
D.
hasWildPopulationOf
chosen
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
E.
hasBreedingCode
Indicates that an entity is associated with a specific code representing its breeding status, behavior, or category.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 |
completed | April 2, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:44 p.m.