Triple
T15336375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marina Park |
E366676
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marina Park |
unclear NED1
|
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: Marina Park | Statement: [Marina Park, name, Marina Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Park Context triple: [Marina Park, name, Marina Park]
-
A.
Marina Park
Marina Park is a waterfront public park in Richmond, California, offering open green space, bay views, and recreational amenities along Marina Bay.
-
B.
Marina Park
Marina Park is a waterfront recreational park in San Leandro, California, featuring open green spaces, walking paths, and views of the San Francisco Bay.
-
C.
Marina Park
Marina Park is a popular waterfront public park in downtown Kirkland, Washington, featuring open green space, lake access, and scenic views of Lake Washington.
-
D.
Astoria Park
Astoria Park is a popular public waterfront park in the Astoria neighborhood of Queens, New York City, known for its expansive East River views, large outdoor pool, and recreational facilities.
-
E.
Marina Green
Marina Green is a large waterfront park and open lawn in San Francisco’s Marina District, popular for recreation, events, and scenic views of the Golden Gate Bridge and the bay.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b3f8eac81908489baeb4cb6bb53 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:17 a.m.