Triple
T3720008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amytis of Media |
E81615
|
entity |
| Predicate | legendaryMotive |
P51408
|
FINISHED |
| Object | homesickness for mountainous homeland |
—
|
LITERAL 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: homesickness for mountainous homeland | Statement: [Amytis of Media, legendaryMotive, homesickness for mountainous homeland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legendaryMotive Context triple: [Amytis of Media, legendaryMotive, homesickness for mountainous homeland]
-
A.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
B.
mottoStyle
Indicates the stylistic form or presentation in which a motto is expressed.
-
C.
mottoInscription
Indicates that a particular motto is inscribed on or associated as an inscription with an entity.
-
D.
usesMotto
Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
-
E.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
- F. None of above. chosen
Provenance (4 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9b5ca8819094299fffc02606ce |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc48ec1a081909af0ff9f267c0ffe |
completed | March 8, 2026, 6:48 p.m. |
Created at: March 8, 2026, 3:34 p.m.