Triple
T17777950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xola |
E443821
|
entity |
| Predicate | symbolLocation |
P30881
|
FINISHED |
| Object | mexicocity |
—
|
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: mexicocity | Statement: [Xola, symbolLocation, mexicocity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: mexicocity Context triple: [Xola, symbolLocation, mexicocity]
-
A.
Mexico City
chosen
Mexico City is the densely populated cultural, political, and economic center of Mexico, known for its rich history, colonial architecture, and vibrant urban life.
-
B.
Nextitla, Mexico City
Nextitla, Mexico City is a residential neighborhood located in the Miguel Hidalgo borough of Mexico City.
-
C.
Cuauhtémoc, Mexico City
Cuauhtémoc is a central borough of Mexico City that serves as the city’s historic, political, and cultural core, encompassing major landmarks, government buildings, and commercial districts.
-
D.
Gustavo A. Madero, Mexico City
Gustavo A. Madero is a northern borough of Mexico City known for its dense urban character and the major Catholic pilgrimage site of the Basilica of Our Lady of Guadalupe.
-
E.
Monterrey
Monterrey is a major industrial and economic hub in northeastern Mexico, known for its modern skyline, strong manufacturing base, and role as a center of business and education.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871e06a481909cf6d59e49dc21c5 |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:12 a.m.