Triple
T18849669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soflusa |
E461006
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Transtejo e Soflusa |
—
|
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: Transtejo e Soflusa | Statement: [Soflusa, partOf, Transtejo e Soflusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transtejo e Soflusa Context triple: [Soflusa, partOf, Transtejo e Soflusa]
-
A.
Transtejo e Soflusa
chosen
Transtejo e Soflusa is a Portuguese ferry company that operates the primary passenger boat services across the Tagus River within the Lisbon metropolitan area.
-
B.
Riosucio
Riosucio is a Colombian town known for its rich cultural traditions and the famous Carnival of Riosucio, celebrated in the Caldas Department.
-
C.
TEJO
TEJO is the international youth organization dedicated to promoting the Esperanto language and fostering cultural exchange among young people worldwide.
-
D.
Lerma
Lerma is a municipality in the State of Mexico, west of Mexico City, known for its industrial zones, residential developments, and proximity to major transportation routes.
-
E.
Savia
Savia was a late Roman province in the region of Pannonia, roughly corresponding to parts of modern-day Slovenia and Croatia.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8f1abdc819081638ed384da191e |
completed | April 20, 2026, 5:26 a.m. |
Created at: April 10, 2026, 11:56 a.m.