Triple
T572856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania |
E13698
|
entity |
| Predicate | hasOfficialBird |
P286
|
FINISHED |
| Object | Ruffed grouse |
—
|
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: Ruffed grouse | Statement: [Pennsylvania, hasOfficialBird, Ruffed grouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialBird Context triple: [Pennsylvania, hasOfficialBird, Ruffed grouse]
-
A.
hasOfficialStateBird
chosen
Indicates that a particular bird species is formally designated as the official state bird of a given state or region.
-
B.
stateBird
Indicates that a particular bird species is officially designated as the state bird of a given state or region.
-
C.
nationalBird
Indicates that one entity is officially designated as the national bird or avian symbol of another entity (typically a country or region).
-
D.
hasOfficialStateAnimal
Indicates that a political entity has a formally designated animal recognized as its official state symbol.
-
E.
isMostNumerousBirdSpecies
Indicates that the subject bird species has the largest population size compared to all other bird species in the relevant context.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b49bad88190bc73d31a317c0ef4 |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c4969c819080375d08f9eec50c |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.