Triple
T26241702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Cádiz y Ceuta |
E656330
|
entity |
| Predicate | hasSeminary |
P113
|
FINISHED |
| Object |
Diocesan Seminary of Cádiz
The Diocesan Seminary of Cádiz is a Catholic institution dedicated to the spiritual, academic, and pastoral formation of future priests serving the Diocese of Cádiz y Ceuta in Spain.
|
E1714942
|
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: Diocesan Seminary of Cádiz | Statement: [Diocese of Cádiz y Ceuta, hasSeminary, Diocesan Seminary of Cádiz]
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: Diocesan Seminary of Cádiz Triple: [Diocese of Cádiz y Ceuta, hasSeminary, Diocesan Seminary of Cádiz]
Generated description
The Diocesan Seminary of Cádiz is a Catholic institution dedicated to the spiritual, academic, and pastoral formation of future priests serving the Diocese of Cádiz y Ceuta in Spain.
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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60d8f7f9c8190bb8cb8f8ac4c0ca5 |
completed | May 2, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11859fed908190964838b467e91dc7 |
completed | May 23, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a11863dfad48190903b8defdb1f64f6 |
completed | May 23, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1186d8c7bc81909c851862b3a29e13 |
completed | May 23, 2026, 10:52 a.m. |
Created at: April 26, 2026, 9:03 p.m.