Triple
T4843022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piers in Manhattan |
E108220
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Pier 35
Pier 35 is a waterfront pier and public space on Manhattan’s East River, known for its recreational areas and views of the New York City skyline.
|
E515597
|
NE FINISHED |
How this triple was built (4 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 35 | Statement: [Piers in Manhattan, hasPart, Pier 35]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pier 35 Context triple: [Piers in Manhattan, hasPart, Pier 35]
-
A.
Pier 33
Pier 33 is a waterfront terminal in San Francisco that serves as the primary departure point for ferry trips to Alcatraz Island.
-
B.
Pier 27
Pier 27 is a waterfront facility in San Francisco that serves as a major cruise ship terminal and gateway for passengers visiting the city.
-
C.
Pier 3
Pier 3 is a historic waterfront pier along San Francisco’s Embarcadero, known for its maritime heritage and scenic views of the bay.
-
D.
Pier 3
Pier 3 is a recreational pier within Brooklyn Bridge Park in Brooklyn, New York, featuring open green space, waterfront views, and leisure amenities.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pier 35 Triple: [Piers in Manhattan, hasPart, Pier 35]
Generated description
Pier 35 is a waterfront pier and public space on Manhattan’s East River, known for its recreational areas and views of the New York City skyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pier 35 Target entity description: Pier 35 is a waterfront pier and public space on Manhattan’s East River, known for its recreational areas and views of the New York City skyline.
-
A.
Pier 33
Pier 33 is a waterfront terminal in San Francisco that serves as the primary departure point for ferry trips to Alcatraz Island.
-
B.
Pier 27
Pier 27 is a waterfront facility in San Francisco that serves as a major cruise ship terminal and gateway for passengers visiting the city.
-
C.
Pier 3
Pier 3 is a historic waterfront pier along San Francisco’s Embarcadero, known for its maritime heritage and scenic views of the bay.
-
D.
Pier 3
Pier 3 is a recreational pier within Brooklyn Bridge Park in Brooklyn, New York, featuring open green space, waterfront views, and leisure amenities.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cff1b008190b537feea0e0cc88f |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf28f128f48190a8bdaf77b6ca6e15 |
completed | March 21, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_69bf29d11d2c819095ce493c8866f624 |
completed | March 21, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2aa2a1688190bc41eb5e259d7d1f |
completed | March 21, 2026, 11:32 p.m. |
Created at: March 20, 2026, 1:25 p.m.