Triple
T16394864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La fiesta del Chivo |
E398152
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Alfaguara
Alfaguara is a prominent Spanish-language publishing house known for releasing works by major contemporary authors across Spain and Latin America.
|
E1211592
|
NE FINISHED |
How this triple was built (4 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: Alfaguara | Statement: [La fiesta del Chivo, publisher, Alfaguara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfaguara Context triple: [La fiesta del Chivo, publisher, Alfaguara]
-
A.
Bustos
Bustos is a municipality in the province of Bulacan in the Philippines, known for its agricultural communities and the Bustos Dam.
-
B.
Florencia
Florencia is a street in Mexico City that intersects at the Glorieta del Ángel, a major roundabout surrounding the iconic Angel of Independence monument.
-
C.
Florencia
Florencia is a city in southern Colombia that serves as a key gateway between the Andean region and the Amazon rainforest.
-
D.
Almagro
Almagro is a traditional middle-class neighborhood in central Buenos Aires, Argentina, known for its historic tango culture, cafes, and densely populated residential streets.
-
E.
Almagro
Almagro is a Spanish surname borne by various notable figures, including politicians, athletes, and artists from Spanish-speaking countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Alfaguara Triple: [La fiesta del Chivo, publisher, Alfaguara]
Generated description
Alfaguara is a prominent Spanish-language publishing house known for releasing works by major contemporary authors across Spain and Latin America.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alfaguara Target entity description: Alfaguara is a prominent Spanish-language publishing house known for releasing works by major contemporary authors across Spain and Latin America.
-
A.
Bustos
Bustos is a municipality in the province of Bulacan in the Philippines, known for its agricultural communities and the Bustos Dam.
-
B.
Florencia
Florencia is a street in Mexico City that intersects at the Glorieta del Ángel, a major roundabout surrounding the iconic Angel of Independence monument.
-
C.
Florencia
Florencia is a city in southern Colombia that serves as a key gateway between the Andean region and the Amazon rainforest.
-
D.
Almagro
Almagro is a traditional middle-class neighborhood in central Buenos Aires, Argentina, known for its historic tango culture, cafes, and densely populated residential streets.
-
E.
Almagro
Almagro is a Spanish surname borne by various notable figures, including politicians, athletes, and artists from Spanish-speaking countries.
- F. None of above. chosen
Provenance (5 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3264538e4819082442d254accf392 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c5bcc7c81909dc1d3a9a1b7f50a |
completed | May 10, 2026, 8:05 a.m. |
| NEDg | Description generation | batch_6a003dd7e9d481908822da391112eb39 |
completed | May 10, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003eb6aa748190b0c8866af405794a |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:08 a.m.