Triple
T19858072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeroporto Humberto Delgado |
E477185
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Portela |
—
|
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: Portela | Statement: [Aeroporto Humberto Delgado, locatedNear, Portela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portela Context triple: [Aeroporto Humberto Delgado, locatedNear, Portela]
-
A.
Portela
Portela is a small settlement located within the caldera of Pico do Fogo volcano on Fogo Island in Cape Verde.
-
B.
Portela
chosen
Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
-
C.
Portogruaro
Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
-
D.
Portugal
Portugal is a Southern European country on the Iberian Peninsula, known for its maritime history, Atlantic coastline, and role as one of the world’s earliest global colonial powers.
-
E.
Luso
Luso is a Portuguese civil parish in the municipality of Mealhada, known for its mineral water springs and proximity to the Bussaco Forest.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586dbbf0819089e7157d416aeaaf |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.