Triple
T18434807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bel-Air |
E450362
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Guadalupe Nuevo |
—
|
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: Guadalupe Nuevo | Statement: [Bel-Air, hasNearbyArea, Guadalupe Nuevo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guadalupe Nuevo Context triple: [Bel-Air, hasNearbyArea, Guadalupe Nuevo]
-
A.
Guadalupe Nuevo
chosen
Guadalupe Nuevo is a barangay in Makati City, Metro Manila, Philippines, known for its mixed residential and commercial areas and proximity to major transport routes.
-
B.
Guadalupe
Guadalupe is the Spanish given name of Mexican-born Hollywood actress and comedian Lupe Vélez.
-
C.
Guadalupe
Guadalupe is a small coastal city in northern Santa Barbara County, California, known for its agricultural surroundings and proximity to the Guadalupe-Nipomo Dunes.
-
D.
Guadalupe
Guadalupe is a renowned Catholic pilgrimage site in Mexico associated with the Marian apparitions of Our Lady of Guadalupe, one of the most venerated religious images in the world.
-
E.
Guadalupe
Guadalupe is a city in the Monterrey metropolitan area of Nuevo León, Mexico, known for its urban development and major sports venues.
- 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_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.