Triple
T1744653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquila verreauxii |
E38309
|
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: [Aquila verreauxii, genus, Aquila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aquila Context triple: [Aquila verreauxii, 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.
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.
-
C.
Pegasus
Pegasus is the NATO reporting name for the Boeing KC-46, a modern aerial refueling and strategic military transport aircraft.
-
D.
Apollo Loxias
Apollo Loxias is an epithet of the Greek god Apollo emphasizing his role as an oracular deity whose prophetic messages are often ambiguous or obscure.
-
E.
Scillus
Scillus was an ancient town in Elis, Greece, notable as the place where the Athenian historian and soldier Xenophon lived in exile and wrote some of his works.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63e804848190a19c10f4e609e900 |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0de0ff08190bb7758e3ba32de80 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.