Triple
T26785778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perry the Platypus |
E670373
|
entity |
| Predicate | hasBill |
P63803
|
FINISHED |
| Object | duck-like 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: duck-like bill | Statement: [Perry the Platypus, hasBill, duck-like bill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBill Context triple: [Perry the Platypus, hasBill, duck-like bill]
-
A.
usesBillFor
Indicates that one entity employs, relies on, or makes use of a particular bill (such as a legislative proposal, invoice, or statement) for a specific purpose or action.
-
B.
hasBillAdaptation
Indicates that an entity has a related adaptation in the form of a bill or legislative proposal.
-
C.
billType
Indicates the classification or category assigned to a bill (such as its kind, purpose, or procedural type).
-
D.
hasBillShape
chosen
Indicates that one entity has a bill whose shape matches the specified form or category.
-
E.
hasCharge
Indicates that an entity possesses a specific electrical or formal charge, such as positive, negative, or neutral.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 4:12 a.m.