Triple
T23028889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Migjorn |
E573400
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Campos |
—
|
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: Campos | Statement: [Migjorn, containsMunicipality, Campos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campos Context triple: [Migjorn, containsMunicipality, Campos]
-
A.
Campos
chosen
Campos is a rural municipality and town in the southeast of Mallorca, Spain, known for its traditional agriculture and proximity to some of the island’s most famous beaches.
-
B.
Campos
Campos is a Portuguese and Spanish surname commonly found in Brazil and other Latin American countries.
-
C.
Cruzcampo
Cruzcampo is a popular Spanish beer brand known for its Andalusian origins and wide distribution throughout Spain.
-
D.
Campos Trigo
Campos Trigo is the birth surname of Spanish actress Paz Vega, reflecting her family heritage.
-
E.
Tierra de Campos
Tierra de Campos is a vast, historically agricultural plain in northwestern Spain known for its cereal fields, traditional villages, and characteristic flat landscapes.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847f453881909a8f2affb48c64f1 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:53 p.m.