Triple
T36722901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recinte Modernista de Sant Pau |
E907115
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
Pavilion of Surgery
The Pavilion of Surgery is a historic medical building within Barcelona’s Modernista Sant Pau complex, notable for its ornate Catalan Art Nouveau architecture and former role in surgical care.
|
E2195593
|
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: Pavilion of Surgery | Statement: [Recinte Modernista de Sant Pau, hasComponent, Pavilion of Surgery]
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: Pavilion of Surgery Triple: [Recinte Modernista de Sant Pau, hasComponent, Pavilion of Surgery]
Generated description
The Pavilion of Surgery is a historic medical building within Barcelona’s Modernista Sant Pau complex, notable for its ornate Catalan Art Nouveau architecture and former role in surgical care.
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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c89dee648190b01862ca4bc6a6b8 |
completed | May 3, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a383926a08190b06f521280fe28db |
completed | June 23, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a3a3dfa09c88190aa38df154a193ff3 |
completed | June 23, 2026, 8:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3a3e5af0208190b1bd02c0b8d6dd5a |
completed | June 23, 2026, 8:05 a.m. |
Created at: May 3, 2026, 4:12 p.m.