Triple
T4448940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javier Prado Avenue |
E96359
|
entity |
| Predicate | connectsDistrict |
P2564
|
FINISHED |
| Object |
La Victoria
La Victoria is a densely populated commercial and residential district in central Lima, Peru, known for its bustling markets and textile trade.
|
E439061
|
NE FINISHED |
How this triple was built (4 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: La Victoria | Statement: [Javier Prado Avenue, connectsDistrict, La Victoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Victoria Context triple: [Javier Prado Avenue, connectsDistrict, La Victoria]
-
A.
Tianguistenco
Tianguistenco is a municipality in the State of Mexico known for its industrial activity and proximity to Toluca in central Mexico.
-
B.
Salcedo
Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
-
C.
Consuela
Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
-
D.
Valdivia
Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
-
E.
Chinchiná
Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: La Victoria Triple: [Javier Prado Avenue, connectsDistrict, La Victoria]
Generated description
La Victoria is a densely populated commercial and residential district in central Lima, Peru, known for its bustling markets and textile trade.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Victoria Target entity description: La Victoria is a densely populated commercial and residential district in central Lima, Peru, known for its bustling markets and textile trade.
-
A.
Tianguistenco
Tianguistenco is a municipality in the State of Mexico known for its industrial activity and proximity to Toluca in central Mexico.
-
B.
Salcedo
Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
-
C.
Consuela
Consuela is a recurring character on the animated TV series "Family Guy," known as a stubborn, heavily accented Latina maid who often says "No, no, no."
-
D.
Valdivia
Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
-
E.
Chinchiná
Chinchiná is a Colombian town and municipality known for its coffee production and location in the central Andean region.
- F. None of above. chosen
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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d45b748190b09b7067fc6279b0 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613895488819083140ae9f0ddba5e |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b61464b0dc81909cab007115435b8b |
completed | March 15, 2026, 2:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6151440648190bf8c1c95e20caf13 |
completed | March 15, 2026, 2:10 a.m. |
Created at: March 12, 2026, 11:32 p.m.