Triple
T2104200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn Bridge Park |
E37155
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Pier 2
Pier 2 is a waterfront recreational pier in Brooklyn Bridge Park known for its sports courts, roller rink, and panoramic views of New York Harbor.
|
E237332
|
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 2 | Statement: [Brooklyn Bridge Park, hasPart, Pier 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pier 2 Context triple: [Brooklyn Bridge Park, hasPart, Pier 2]
-
A.
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.
-
B.
Pier 7
Pier 7 is a multi-story dining and entertainment tower in Dubai Marina known for its collection of upscale restaurants and panoramic waterfront views.
-
C.
Pier 7
Pier 7 is a scenic wooden pier on San Francisco’s Embarcadero waterfront, known for its skyline views, fishing spots, and iconic perspective toward the Financial District.
-
D.
Pier 57
Pier 57 is a historic waterfront pier and entertainment complex on Seattle’s Elliott Bay, featuring restaurants, shops, and attractions along the city’s central waterfront.
-
E.
Pier A
Pier A is a major passenger terminal concourse at Brussels Airport primarily serving Schengen and some non-Schengen flights.
- 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 2 Triple: [Brooklyn Bridge Park, hasPart, Pier 2]
Generated description
Pier 2 is a waterfront recreational pier in Brooklyn Bridge Park known for its sports courts, roller rink, and panoramic views of New York Harbor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pier 2 Target entity description: Pier 2 is a waterfront recreational pier in Brooklyn Bridge Park known for its sports courts, roller rink, and panoramic views of New York Harbor.
-
A.
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.
-
B.
Pier 7
Pier 7 is a scenic wooden pier on San Francisco’s Embarcadero waterfront, known for its skyline views, fishing spots, and iconic perspective toward the Financial District.
-
C.
Pier 7
Pier 7 is a multi-story dining and entertainment tower in Dubai Marina known for its collection of upscale restaurants and panoramic waterfront views.
-
D.
Pier 57
Pier 57 is a historic waterfront pier and entertainment complex on Seattle’s Elliott Bay, featuring restaurants, shops, and attractions along the city’s central waterfront.
-
E.
Pier A
Pier A is a major passenger terminal concourse at Brussels Airport primarily serving Schengen and some non-Schengen flights.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabf7cdc81909636dff34badc1c5 |
completed | March 7, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae518fb0b4819096a8ce455e22661a |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae523cdebc819088b94e67b5311527 |
completed | March 9, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae52c56c5c8190bbdd2af3dde63374 |
completed | March 9, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:43 p.m.