Triple
T35986918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASPA 124 |
E1040735
|
entity |
| Predicate | hasNotableColonyOf |
P207125
|
FINISHED |
| Object | Adélie 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: Adélie penguin | Statement: [ASPA 124, hasNotableColonyOf, Adélie penguin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableColonyOf Context triple: [ASPA 124, hasNotableColonyOf, Adélie penguin]
-
A.
colonyOf
Indicates that one entity is a colony belonging to, founded by, or politically dependent on another entity.
-
B.
hasColonialCenter
Indicates that one entity serves as the colonial administrative or control center for another entity.
-
C.
hasColonialCity
Indicates that an entity possesses or includes a city that was established or significantly developed during a period of colonial rule.
-
D.
hasColonialCapitalNearby
Indicates that an entity is located close to a city that served as a colonial capital.
-
E.
hasColonialTown
Indicates that one entity possesses, contains, or is associated with a town established or characterized as a colonial settlement.
- 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:07 p.m.