Triple
T8522781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish imperial eagle |
E201733
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object | Aquila |
E5856
|
NE 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: Aquila | Statement: [Spanish imperial eagle, genus, Aquila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aquila Context triple: [Spanish imperial eagle, genus, Aquila]
-
A.
Aquila
chosen
Aquila is a genus of large, powerful birds of prey that includes several species of true eagles found across much of the world.
-
B.
Alcedo
Alcedo is a genus of small, brightly colored river kingfishers known for their vivid blue and orange plumage and fish-hunting dives along freshwater habitats.
-
C.
Corvus
Corvus is a small southern constellation known for its distinctive quadrilateral shape, often interpreted as a crow or raven in classical mythology.
-
D.
Aquilon
Aquilon was a warship that engaged in naval combat with the British battleship HMS Goliath.
-
E.
Scorpius
Scorpius is a prominent zodiac constellation in the southern sky, easily recognized by its curved "scorpion's tail" and bright red supergiant star Antares.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe64215408190b45f462a32d3471d |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e8399f481909992aedf0d918cbc |
completed | April 2, 2026, 11:09 a.m. |
Created at: March 30, 2026, 6:16 p.m.