Triple
T7189546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arctic tern |
E167652
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object |
Sterna
Sterna is a genus of seabirds in the tern family that includes species such as the Arctic tern, known for their graceful flight and long-distance migrations.
|
E647525
|
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: Sterna | Statement: [Arctic tern, genus, Sterna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sterna Context triple: [Arctic tern, genus, Sterna]
-
A.
Albatross
"Albatross" is a 1968 instrumental blues-rock piece by Fleetwood Mac, composed by Peter Green and renowned for its dreamy, atmospheric guitar sound.
-
B.
Larus
Larus is a genus of medium to large gulls commonly found in coastal and inland waters across much of the world.
-
C.
Gannet
The Gannet was the Royal Navy's designation for a variant of the American Grumman F6F Hellcat carrier-based fighter aircraft used during World War II.
-
D.
Tadorna
Tadorna is a genus of large, colorful waterfowl commonly known as shelducks, found across Eurasia, Africa, and Australasia.
-
E.
Phalaropus
Phalaropus is a small genus of specialized shorebirds known as phalaropes, which exhibit unusual reversed sexual dimorphism and often spin on the water to stir up food.
- 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: Sterna Triple: [Arctic tern, genus, Sterna]
Generated description
Sterna is a genus of seabirds in the tern family that includes species such as the Arctic tern, known for their graceful flight and long-distance migrations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sterna Target entity description: Sterna is a genus of seabirds in the tern family that includes species such as the Arctic tern, known for their graceful flight and long-distance migrations.
-
A.
Albatross
"Albatross" is a 1968 instrumental blues-rock piece by Fleetwood Mac, composed by Peter Green and renowned for its dreamy, atmospheric guitar sound.
-
B.
Larus
Larus is a genus of medium to large gulls commonly found in coastal and inland waters across much of the world.
-
C.
Gannet
The Gannet was the Royal Navy's designation for a variant of the American Grumman F6F Hellcat carrier-based fighter aircraft used during World War II.
-
D.
Tadorna
Tadorna is a genus of large, colorful waterfowl commonly known as shelducks, found across Eurasia, Africa, and Australasia.
-
E.
Phalaropus
Phalaropus is a small genus of specialized shorebirds known as phalaropes, which exhibit unusual reversed sexual dimorphism and often spin on the water to stir up food.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8ff1ad0819094761f8c73e3e986 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b956ce048190b377dd62f5b5b173 |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7ba1752648190a417bdbbbf04a243 |
completed | March 28, 2026, 11:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7bada296c819094b92c0479ab8a3a |
completed | March 28, 2026, 11:26 a.m. |
Created at: March 27, 2026, 2:50 p.m.