Triple
T16036751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acqua Felice aqueduct |
E388986
|
entity |
| Predicate | hasLatinName |
P3646
|
FINISHED |
| Object | Aqua Felicis |
E1193386
|
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: Aqua Felicis | Statement: [Acqua Felice aqueduct, hasLatinName, Aqua Felicis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aqua Felicis Context triple: [Acqua Felice aqueduct, hasLatinName, Aqua Felicis]
-
A.
Aqua Felice
chosen
Aqua Felice is a late 16th-century Roman aqueduct, restored under Pope Sixtus V, that brought fresh water to parts of Rome and culminates in the monumental Fountain of Moses.
-
B.
Aqua Anio Vetus
Aqua Anio Vetus was one of ancient Rome’s earliest major aqueducts, channeling water from the Aniene River to supply the growing city.
-
C.
Aqua Marcia
Aqua Marcia was one of ancient Rome’s longest and most celebrated aqueducts, renowned for supplying the city with abundant, high-quality water.
-
D.
Aquatica
Aquatica is a chain of water parks owned and operated by SeaWorld Parks & Entertainment, known for combining high-thrill water attractions with marine life themes.
-
E.
Aqua Magna
Aqua Magna is a fictional ocean-covered planet in the Lego Bionicle universe that serves as one of the primary locations for the story’s events.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833ca66881909475fac23e6fbf86 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb893f988190a0693564bbe78ca1 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:56 a.m.