Triple
T22909307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Océan |
E568544
|
entity |
| Predicate | hasPortTown |
P2745
|
FINISHED |
| Object | Campo |
—
|
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: Campo | Statement: [Océan, hasPortTown, Campo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campo Context triple: [Océan, hasPortTown, Campo]
-
A.
Campo
Campo is a town located in the South Region of Brazil.
-
B.
Campo
chosen
Campo is a civil parish located within the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
C.
Campo
Campo is a small rural community in southeastern San Diego County, California, known for its historic railroad, military history sites, and proximity to the U.S.–Mexico border.
-
D.
Campo
Campo is the nickname of David Campese, the legendary Australian rugby union winger renowned for his attacking flair and try-scoring prowess.
-
E.
Campo
Campo is a coastal locality or feature situated within or along the Atlantic Ocean.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18072986881909eefb317ced5a145 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.