Triple
T20835639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miljacka |
E512952
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Pale |
—
|
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: Pale | Statement: [Miljacka, flowsThrough, Pale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pale Context triple: [Miljacka, flowsThrough, Pale]
-
A.
Pale
Pale was the English-controlled region around Dublin in medieval and early modern Ireland that served as the main stronghold of English authority.
-
B.
Pale
chosen
Pale is a town in Bosnia and Herzegovina that served as a key political and military center for Bosnian Serb authorities during the Bosnian War.
-
C.
Pale
Pale is a character in the play "Burn This," contributing to the intense emotional and interpersonal drama that drives the story.
-
D.
Purple
Purple is the 1994 sophomore studio album by American rock band Stone Temple Pilots, noted for its blend of grunge, hard rock, and psychedelic influences and featuring hits like “Interstate Love Song.”
-
E.
Grey
Grey is a common English surname borne by numerous notable figures across entertainment, politics, and history.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32622c481908b8d2159bd5bb0ad |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.