Triple
T5616584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surquillo |
E147491
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | La Victoria |
E439061
|
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: La Victoria | Statement: [Surquillo, borderedBy, La Victoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Victoria Context triple: [Surquillo, borderedBy, La Victoria]
-
A.
La Victoria
chosen
La Victoria is a densely populated commercial and residential district in central Lima, Peru, known for its bustling markets and textile trade.
-
B.
Tianguistenco
Tianguistenco is a municipality in the State of Mexico known for its industrial activity and proximity to Toluca in central Mexico.
-
C.
de Vitoria
de Vitoria is the surname of Francisco de Vitoria, a 16th-century Spanish theologian and jurist regarded as a founder of modern international law.
-
D.
Salcedo
Salcedo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and rural landscapes.
-
E.
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."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021da7f848190bb1cd0270ad6398f |
completed | March 22, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d55b95c8190a5f3e2c05249c136 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:39 p.m.