Triple
T17655611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segestani |
E429613
|
entity |
| Predicate | associatedWithRiver |
P165
|
FINISHED |
| Object | Colapis (Kupa) |
—
|
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: Colapis (Kupa) | Statement: [Segestani, associatedWithRiver, Colapis (Kupa)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colapis (Kupa) Context triple: [Segestani, associatedWithRiver, Colapis (Kupa)]
-
A.
Kupa
chosen
Kupa is a river in Central Europe that flows through Croatia and Slovenia before joining the Sava River.
-
B.
Kupa
Kupa is a historic Cupeño village site in Southern California that served as a central homeland and cultural hub for the Cupeño people.
-
C.
Katapola
Katapola is a coastal village and main port on the Greek island of Amorgos, known for its sheltered bay and traditional Cycladic character.
-
D.
Kopaska
Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
-
E.
Rapale
Rapale is a small commune in the Haute-Corse department on the island of Corsica in France.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e40e344819086a49c69f8f2956b |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:06 a.m.