Triple
T18434824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Lorenzo |
E450363
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | San Lorenzo Village |
—
|
NE NERFINISHED |
How this triple was built (3 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: San Lorenzo Village | Statement: [San Lorenzo, contains, San Lorenzo Village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Lorenzo Village Context triple: [San Lorenzo, contains, San Lorenzo Village]
-
A.
Las Lomas
Las Lomas is an affluent residential and commercial district in Mexico City known for its upscale homes, embassies, and exclusive shops.
-
B.
Interlomas
Interlomas is an upscale residential and commercial district in the municipality of Huixquilucan, known for its modern shopping centers, high-rise developments, and proximity to Mexico City.
-
C.
San Lorenzo Place
San Lorenzo Place is a mixed-use residential and commercial development in Makati, Metro Manila, known for its condominium towers directly connected to the Magallanes MRT station.
-
D.
Lomas de Vista Hermosa
Lomas de Vista Hermosa is an upscale residential neighborhood in western Mexico City known for its gated communities, modern housing developments, and proximity to major business and commercial areas.
-
E.
Lindavista
Lindavista is a metro station in Mexico City serving the Lindavista neighborhood on the city's rapid transit network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Lorenzo Village Target entity description: San Lorenzo Village is a residential community within the city of San Lorenzo, known for its suburban character and neighborhood amenities.
-
A.
Las Lomas
Las Lomas is an affluent residential and commercial district in Mexico City known for its upscale homes, embassies, and exclusive shops.
-
B.
Interlomas
Interlomas is an upscale residential and commercial district in the municipality of Huixquilucan, known for its modern shopping centers, high-rise developments, and proximity to Mexico City.
-
C.
San Lorenzo Place
San Lorenzo Place is a mixed-use residential and commercial development in Makati, Metro Manila, known for its condominium towers directly connected to the Magallanes MRT station.
-
D.
Lomas de Vista Hermosa
Lomas de Vista Hermosa is an upscale residential neighborhood in western Mexico City known for its gated communities, modern housing developments, and proximity to major business and commercial areas.
-
E.
Lindavista
Lindavista is a metro station in Mexico City serving the Lindavista neighborhood on the city's rapid transit network.
- F. None of above. chosen
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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0bd35c8190b66d62ad9987377f |
completed | April 19, 2026, 6:16 p.m. |
Created at: April 10, 2026, 11:28 a.m.