Triple
T19029836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripollès |
E465704
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Freser |
—
|
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: Freser | Statement: [Ripollès, hasRiver, Freser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freser Context triple: [Ripollès, hasRiver, Freser]
-
A.
Freser
chosen
Freser is a river in Catalonia, Spain, known for flowing through the Pyrenees and joining the Ter River.
-
B.
Frierson
Frierson is a surname of likely Scottish or English origin borne by various individuals, including public figures such as American attorney and politician Jason M. Frierson.
-
C.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
-
D.
Fraser
Fraser is a small mountain town in Colorado known for its proximity to ski resorts and outdoor recreation in the Rocky Mountains.
-
E.
Fraser
Fraser is a common Scottish surname historically associated with the Clan Fraser and borne by many notable figures worldwide.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73f98dc81909acbb366f00d2d54 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.