Triple
T2418130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ensenada |
E52353
|
entity |
| Predicate | touristAttraction |
P530
|
FINISHED |
| Object | Ensenada waterfront |
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 waterfront | Statement: [Ensenada, touristAttraction, Ensenada waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ensenada waterfront Context triple: [Ensenada, touristAttraction, Ensenada waterfront]
-
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.
Port of Ensenada
The Port of Ensenada is a major Pacific Ocean seaport in Baja California, Mexico, serving as an important hub for commercial shipping, fishing, and cruise tourism.
-
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.
Rosarito
Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
-
E.
Oceanside
Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc950516c8190989591673de6b1f7 |
completed | March 7, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef09efc108190b309dfe993526a26 |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:42 p.m.