Triple
T3871788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Basin |
E92401
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Mission Bay |
E49043
|
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: Mission Bay | Statement: [China Basin, borderedBy, Mission Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mission Bay Context triple: [China Basin, borderedBy, Mission Bay]
-
A.
Mission Bay
chosen
Mission Bay is a major University of California, San Francisco campus and research hub in San Francisco known for its focus on biomedical sciences and biotechnology.
-
B.
Mission Bay
Mission Bay is a coastal recreational area in San Diego known for its large aquatic park, beaches, and water sports.
-
C.
Mission Bay Park
Mission Bay Park is a large aquatic and recreational park in San Diego known for its man-made bay, beaches, and extensive outdoor activities.
-
D.
The Marina
The Marina is a lively waterfront area along Chicago’s Riverwalk known for its restaurants, bars, and scenic views of the Chicago River.
-
E.
Point Loma peninsula
Point Loma peninsula is a prominent coastal landform in San Diego, California, known for its historic lighthouse, scenic cliffs, and strategic military and naval installations.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec5691148190b469af0bee9154db |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51249f1ec8190a1f6cc191bc94421 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.