Triple
T519744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baja California |
E10786
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ensenada |
E52353
|
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: Ensenada | Statement: [Baja California, contains, Ensenada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ensenada Context triple: [Baja California, contains, Ensenada]
-
A.
Ensenada
chosen
Ensenada is a coastal city in northwestern Baja California, Mexico, known for its busy port, tourism, and nearby wine-producing valleys.
-
B.
Tijuana
Tijuana is a large, bustling border city in northwestern Mexico known for its cultural vibrancy, manufacturing industry, and close economic and social ties with the neighboring U.S. city of San Diego.
-
C.
Rosarito
Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
-
D.
Colonia Juárez
Colonia Juárez is a historic and centrally located neighborhood in Mexico City known for its eclectic architecture, cultural venues, and vibrant commercial and nightlife scenes.
-
E.
Buenavista
Buenavista is a major transit hub and neighborhood in Mexico City that serves as a key interchange point for metro, bus rapid transit, and commuter rail services.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1a00a6c8190a62dc7c901c2f2ff |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a55a7165988190bc4312ca40770e27 |
completed | March 2, 2026, 9:37 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.