Triple
T4042934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honeoye Lake |
E83994
|
entity |
| Predicate | fishSpecies |
P7733
|
FINISHED |
| Object |
black crappie
The black crappie is a North American freshwater sunfish known for its distinctive dark, speckled pattern and popularity among anglers as a sport and panfish species.
|
E409401
|
NE FINISHED |
How this triple was built (4 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: black crappie | Statement: [Honeoye Lake, fishSpecies, black crappie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: black crappie Context triple: [Honeoye Lake, fishSpecies, black crappie]
-
A.
White bass
The white bass is a North American freshwater game fish known for its schooling behavior, strong fighting ability, and popularity among anglers in lakes and rivers.
-
B.
largemouth bass
The largemouth bass is a popular North American freshwater game fish known for its aggressive strikes, strong fighting ability, and importance to recreational angling.
-
C.
Walleye
The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
-
D.
Carp
Carp is a village in the western part of Ottawa, Ontario, known for its rural character and the nearby Diefenbunker Cold War museum.
-
E.
walleye
Walleye is the internal codename used by Google for its Pixel 2 smartphone model.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: black crappie Triple: [Honeoye Lake, fishSpecies, black crappie]
Generated description
The black crappie is a North American freshwater sunfish known for its distinctive dark, speckled pattern and popularity among anglers as a sport and panfish species.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: black crappie Target entity description: The black crappie is a North American freshwater sunfish known for its distinctive dark, speckled pattern and popularity among anglers as a sport and panfish species.
-
A.
White bass
The white bass is a North American freshwater game fish known for its schooling behavior, strong fighting ability, and popularity among anglers in lakes and rivers.
-
B.
largemouth bass
The largemouth bass is a popular North American freshwater game fish known for its aggressive strikes, strong fighting ability, and importance to recreational angling.
-
C.
Walleye
The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
-
D.
Carp
Carp is a village in the western part of Ottawa, Ontario, known for its rural character and the nearby Diefenbunker Cold War museum.
-
E.
walleye
Walleye is the internal codename used by Google for its Pixel 2 smartphone model.
- F. None of above. chosen
Provenance (5 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5b65c08190ba3f340ed18737f8 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5564d0fb881909ba645714be27b95 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b55a291d8c8190976e764011692ba0 |
completed | March 14, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55a9ec7e88190bc5d165fd666f4b3 |
completed | March 14, 2026, 12:54 p.m. |
Created at: March 9, 2026, 3:37 p.m.