Triple
T26637836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerra de las Naranjas |
E668687
|
entity |
| Predicate | motivoDelNombre |
P7885
|
FINISHED |
| Object | Manuel Godoy envió naranjas de Elvas a la reina María Luisa de Parma |
—
|
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: Manuel Godoy envió naranjas de Elvas a la reina María Luisa de Parma | Statement: [Guerra de las Naranjas, motivoDelNombre, Manuel Godoy envió naranjas de Elvas a la reina María Luisa de Parma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motivoDelNombre Context triple: [Guerra de las Naranjas, motivoDelNombre, Manuel Godoy envió naranjas de Elvas a la reina María Luisa de Parma]
-
A.
reasonForName
chosen
Indicates the explanation or cause behind why an entity has a particular name.
-
B.
reasonForEpithet
Indicates the cause, motivation, or circumstance that explains why a particular epithet is applied to an entity.
-
C.
reasonForNickname
Indicates the explanation or cause behind why a particular nickname was given to an entity.
-
D.
birthNameMeaning
Indicates the semantic meaning or significance associated with a person's birth name.
-
E.
isMeaningOfName
Indicates that one entity expresses or defines the meaning or interpretation of a given name.
- F. None of above.
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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 2:28 a.m.