Triple
T31024499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historiador de la Ciudad de La Habana |
E790530
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
publishing house Ediciones Boloña
Publishing house Ediciones Boloña is a Cuban editorial imprint based in Havana, known for producing works on the city’s history, culture, and heritage.
|
E1943834
|
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: publishing house Ediciones Boloña | Statement: [Historiador de la Ciudad de La Habana, hasPart, publishing house Ediciones Boloña]
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: publishing house Ediciones Boloña Triple: [Historiador de la Ciudad de La Habana, hasPart, publishing house Ediciones Boloña]
Generated description
Publishing house Ediciones Boloña is a Cuban editorial imprint based in Havana, known for producing works on the city’s history, culture, and heritage.
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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f694bcf5688190ab5a853fdbf368fa |
completed | May 3, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a291846c2488190a472ce91eb2d0c83 |
completed | June 10, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_6a291c980a1881908f8bd99eea8b7383 |
completed | June 10, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a291d4ed5b88190b613ce7f759c0baf |
completed | June 10, 2026, 8:16 a.m. |
Created at: April 29, 2026, 8:58 p.m.