Triple
T23818981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monasterio de las Descalzas Reales |
E589175
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Royal Monasteries of Madrid
The Royal Monasteries of Madrid are a group of historic royal convents and monastic complexes in Spain’s capital, renowned for their rich artistic heritage, close ties to the Spanish monarchy, and well-preserved Renaissance and Baroque architecture.
|
E1606755
|
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: Royal Monasteries of Madrid | Statement: [Monasterio de las Descalzas Reales, partOf, Royal Monasteries of Madrid]
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: Royal Monasteries of Madrid Triple: [Monasterio de las Descalzas Reales, partOf, Royal Monasteries of Madrid]
Generated description
The Royal Monasteries of Madrid are a group of historic royal convents and monastic complexes in Spain’s capital, renowned for their rich artistic heritage, close ties to the Spanish monarchy, and well-preserved Renaissance and Baroque architecture.
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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7ad0ec88190bace5c3f00908b30 |
completed | April 29, 2026, 8:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f6986c1c88190b2ad7cac4c9db05c |
completed | May 21, 2026, 8:22 p.m. |
| NEDg | Description generation | batch_6a0f6d3f59308190a05f96b74183c51f |
completed | May 21, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f6dc831c08190b55834bbdd1d85a3 |
completed | May 21, 2026, 8:40 p.m. |
Created at: April 17, 2026, 7:58 p.m.