Triple
T33528547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake of Parc de la Ciutadella |
E858709
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object |
Umbracle of Parc de la Ciutadella
The Umbracle of Parc de la Ciutadella is a historic 19th-century iron-and-brick greenhouse in Barcelona, known for its lush Mediterranean and tropical plant collections and striking modernista architecture.
|
E244160
|
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: Umbracle of Parc de la Ciutadella | Statement: [Lake of Parc de la Ciutadella, hasNearbyAttraction, Umbracle of Parc de la Ciutadella]
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: Umbracle of Parc de la Ciutadella Triple: [Lake of Parc de la Ciutadella, hasNearbyAttraction, Umbracle of Parc de la Ciutadella]
Generated description
The Umbracle of Parc de la Ciutadella is a historic 19th-century iron-and-brick greenhouse in Barcelona, known for its lush Mediterranean and tropical plant collections and striking modernista 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f6a351708190a727780e2e9ae2b1 |
completed | May 3, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a361186bbfc8190ada8b6871676b7dd |
completed | June 20, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_6a36120adefc8190be07cdda97a7b8f3 |
completed | June 20, 2026, 4:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36126950b481908c80c49788a7f392 |
completed | June 20, 2026, 4:09 a.m. |
Created at: May 1, 2026, 1:39 a.m.