Triple
T9201937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosarito Beach Hotel |
E220863
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Rosarito |
E41582
|
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: Rosarito | Statement: [Rosarito Beach Hotel, city, Rosarito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosarito Context triple: [Rosarito Beach Hotel, city, Rosarito]
-
A.
Rosarito
chosen
Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
-
B.
Toa Baja
Toa Baja is a coastal municipality in northern Puerto Rico, known for its proximity to San Juan and its mix of urban, industrial, and residential areas.
-
C.
Rosarito Beach
Rosarito Beach is a popular coastal resort area in Baja California, Mexico, known for its sandy beaches, nightlife, and proximity to the U.S. border.
-
D.
San Pedro
San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
-
E.
San Pedro
San Pedro is the main town and administrative center of the municipality of Breña Alta on the island of La Palma in Spain’s Canary Islands.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd943cfb0819082231d80f0dc073b |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077808ee48190be6b58a4b38f3e3d |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:25 p.m.