Triple
T22939316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima District |
E569675
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | La Victoria District |
—
|
NE NERFINISHED |
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 District | Statement: [Lima District, borders, La Victoria District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Victoria District Context triple: [Lima District, borders, La Victoria District]
-
A.
La Victoria District
chosen
La Victoria District is a densely populated commercial and residential district in central Lima, Peru, known for its bustling markets and textile trade.
-
B.
Caja District
Caja District is an administrative district located within Acobamba Province in the Huancavelica region of central Peru.
-
C.
Copa District
Copa District is an administrative district located within Peru’s Cajatambo Province in the Lima Region, known for its high Andean geography and rural communities.
-
D.
Caracoto District
Caracoto District is an administrative district located in the Andean region of southern Peru, within the Puno Region.
-
E.
Faena District
Faena District is a luxury mixed-use cultural and residential neighborhood development known for its high-end hotels, arts venues, and design-forward urban revitalization projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181378660819083239986c846ec17 |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:45 p.m.