Triple
T20560037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit of Java |
E504820
|
entity |
| Predicate | hasAlternativeNameOfCity |
P39952
|
FINISHED |
| Object | Solo |
—
|
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: Solo | Statement: [Spirit of Java, hasAlternativeNameOfCity, Solo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solo Context triple: [Spirit of Java, hasAlternativeNameOfCity, Solo]
-
A.
Solo
chosen
Solo is a city in Central Java, Indonesia, renowned as a major center of traditional Javanese culture and batik craftsmanship.
-
B.
Solo
Solo is a 2018 Star Wars anthology film that explores the early adventures and origins of the iconic smuggler Han Solo.
-
C.
Solo
Solo is a segment from the horror anthology film "The Turning," contributing one of its self-contained, eerie narrative episodes.
-
D.
Solo
"Solo" is a jazz piano album by Mulgrew Miller showcasing his virtuosic solo performance and sophisticated improvisational style.
-
E.
Solo
Solo is the Senegalese immigrant cab driver at the heart of the film "Goodbye Solo," whose warmth and determination drive the story’s emotional journey.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a79d93148190b038814af0a4649a |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:38 a.m.