Triple
T19057965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles IV |
E466447
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Funchal |
—
|
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: Funchal | Statement: [Charles IV, deathPlace, Funchal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funchal Context triple: [Charles IV, deathPlace, Funchal]
-
A.
Funchal, Madeira, Portugal
chosen
Funchal, Madeira, Portugal is the capital city of Portugal’s Madeira archipelago, known for its scenic harbor, subtropical climate, and as the hometown of footballer Cristiano Ronaldo.
-
B.
PontaDelgadaMadeira
Ponta Delgada (Madeira) is a small coastal village on the Portuguese island of Madeira, known for its scenic ocean views, traditional architecture, and tranquil rural atmosphere.
-
C.
Ponta Delgada
Ponta Delgada is the largest city and main economic and administrative center of the Azores archipelago in Portugal, located on the island of São Miguel.
-
D.
Margão
Margão is a major commercial and cultural city in the South Goa district of the Indian state of Goa.
-
E.
Vilamoura
Vilamoura is a major Portuguese resort town in the Algarve, known for its large marina, golf courses, beaches, and upscale tourist facilities.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc0742288190a594be859184841a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.