Triple
T10359935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pier 5 |
E244105
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Pier 6 |
E247530
|
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: Pier 6 | Statement: [Pier 5, near, Pier 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pier 6 Context triple: [Pier 5, near, Pier 6]
-
A.
Pier 6
chosen
Pier 6 is a waterfront section of Brooklyn Bridge Park known for its recreational facilities, playgrounds, and views of New York Harbor.
-
B.
Pier 61
Pier 61 is a Hudson River waterfront pier in Manhattan best known today as part of the Chelsea Piers sports and entertainment complex.
-
C.
Pier 62
Pier 62 is a recreational pier along Manhattan’s west side waterfront that features park space, a carousel, and views of the Hudson River as part of the larger Hudson River Park.
-
D.
Pier 62
Pier 62 is a public waterfront pier and park space on Seattle’s Elliott Bay, known for its views, recreation areas, and community events.
-
E.
Pier 60
Pier 60 is a popular fishing pier and recreational hub on Clearwater Beach known for its sunset celebrations, playground, and Gulf of Mexico views.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9609c4481908b7d72ecf1adaa73 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7953205cc8190ad7f28a7436049bc |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:59 a.m.