Triple
T21064593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heron UAV |
E518932
|
entity |
| Predicate | notableVariant |
P4680
|
FINISHED |
| Object | Heron 1 |
—
|
NE NERFINISHED |
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: Heron 1 | Statement: [Heron UAV, notableVariant, Heron 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heron 1 Context triple: [Heron UAV, notableVariant, Heron 1]
-
A.
Heron 1
chosen
Heron 1 is an Israeli-made medium-altitude, long-endurance unmanned aerial vehicle used primarily for intelligence, surveillance, and reconnaissance missions.
-
B.
Héron
Héron is a rural municipality in the province of Liège in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
C.
Herm
Herm is a small, privately owned island in the English Channel known for its unspoiled beaches, car-free environment, and status as part of the Bailiwick of Guernsey.
-
D.
Herro
Herro is the surname of American professional basketball player Tyler Herro, known for his scoring ability and play with the Miami Heat in the NBA.
-
E.
Heron of Arles
Heron of Arles was a 5th-century Christian bishop from the city of Arles, known for his involvement in early Church councils and theological disputes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb29e388190a80fa969a4daa606 |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:44 p.m.