Triple
T29273337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida Bernardo de Irigoyen (segment) |
E742177
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Avenida Bernardo de Irigoyen
Avenida Bernardo de Irigoyen is a major avenue in Buenos Aires, Argentina, known for running along the eastern edge of the city center and serving as an important traffic artery.
|
E2082180
|
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: Avenida Bernardo de Irigoyen | Statement: [Avenida Bernardo de Irigoyen (segment), partOf, Avenida Bernardo de Irigoyen]
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: Avenida Bernardo de Irigoyen Triple: [Avenida Bernardo de Irigoyen (segment), partOf, Avenida Bernardo de Irigoyen]
Generated description
Avenida Bernardo de Irigoyen is a major avenue in Buenos Aires, Argentina, known for running along the eastern edge of the city center and serving as an important traffic artery.
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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f664e523b88190a9e47b00db5f0760 |
completed | May 2, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b73ff0d881909364fc488ef21a37 |
completed | June 20, 2026, 3:52 p.m. |
| NEDg | Description generation | batch_6a36b81e1e588190bb400c76f45944d1 |
completed | June 20, 2026, 3:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36b9868250819097430b3864d75880 |
completed | June 20, 2026, 4:02 p.m. |
Created at: April 28, 2026, 12:49 p.m.