Triple
T19596267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amrita |
E470356
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Ambrosia |
—
|
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: Ambrosia | Statement: [Amrita, relatedConcept, Ambrosia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambrosia Context triple: [Amrita, relatedConcept, Ambrosia]
-
A.
Ambrosia
chosen
Ambrosia is a figure from Greek mythology, known as a daughter of the Titan Atlas.
-
B.
Ambrosia
Ambrosia is a Thoroughbred racehorse known for competing on the track in professional horse racing events.
-
C.
Stornarella
Stornarella is a small town and comune in the province of Foggia in the Apulia region of southern Italy.
-
D.
Herse
Herse is a small, irregular outer moon of Jupiter belonging to the planet’s distant, retrograde satellite group.
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6407a09608190aa1df92f8c21f9e7 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.