Triple
T11046441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snares crested penguin |
E261148
|
entity |
| Predicate | hasFacialMarking |
P31173
|
FINISHED |
| Object | bare pink skin at base of bill |
—
|
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: bare pink skin at base of bill | Statement: [Snares crested penguin, hasFacialMarking, bare pink skin at base of bill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFacialMarking Context triple: [Snares crested penguin, hasFacialMarking, bare pink skin at base of bill]
-
A.
hasScar
Indicates that one entity bears or possesses a scar on its body.
-
B.
hasPhysicalFeature
chosen
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
-
C.
eggMarkings
Indicates that one entity bears or displays specific markings or patterns on its eggs in relation to another entity or context.
-
D.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
-
E.
hasTattoo
Indicates that one entity bears a tattoo on their body.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798307da481908996557a73c9b49a |
completed | April 9, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69d74407cb088190ba37c8da3d342b64 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.