Triple
T1196144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayabeque Province |
E25671
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Madruga |
E26676
|
NE FINISHED |
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: Madruga | Statement: [Mayabeque Province, hasMunicipality, Madruga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madruga Context triple: [Mayabeque Province, hasMunicipality, Madruga]
-
A.
Madruga
chosen
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
B.
Day of the Sun
Day of the Sun is North Korea’s most important national holiday, marking the birth anniversary of founding leader Kim Il-sung with large-scale celebrations and state ceremonies.
-
C.
The Night
The Night is a haunting Expressionist painting by Max Beckmann that depicts the brutal terror and psychological trauma of a violent home invasion.
-
D.
Serenata
Serenata is a musical composition by Portuguese composer Alfredo Keil, best known for its lyrical, romantic character within his body of work.
-
E.
Coma Pedrosa
Coma Pedrosa is the tallest mountain in Andorra, known for its rugged alpine terrain and popular hiking routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd7a756c819085d695acfffeaceb |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7650de3c8190b2c246436a3d25b1 |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:46 p.m.