Triple
T7495992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince’s Bay |
E177129
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Prince’s Bay station
Prince’s Bay station is a Staten Island Railway stop in the Prince’s Bay neighborhood of Staten Island, New York City.
|
E668550
|
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: Prince’s Bay station | Statement: [Prince’s Bay, hasRailwayStation, Prince’s Bay station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prince’s Bay station Context triple: [Prince’s Bay, hasRailwayStation, Prince’s Bay station]
-
A.
McEwan Station
McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
-
B.
Kings Park station
Kings Park station is a commuter rail stop in Kings Park, New York, served by the Long Island Rail Road.
-
C.
Kipling station
Kipling station is a major western transit hub in Toronto that connects the subway system with regional buses and commuter services.
-
D.
Blair station
Blair station is an eastern Ottawa light rail transit station that serves as a key terminus and transfer point for the city’s O-Train network.
-
E.
Harborland Station
Harborland Station is a railway station in Kobe, Japan, serving as a key access point to the waterfront Harborland shopping and entertainment district.
- 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: Prince’s Bay station Triple: [Prince’s Bay, hasRailwayStation, Prince’s Bay station]
Generated description
Prince’s Bay station is a Staten Island Railway stop in the Prince’s Bay neighborhood of Staten Island, New York City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prince’s Bay station Target entity description: Prince’s Bay station is a Staten Island Railway stop in the Prince’s Bay neighborhood of Staten Island, New York City.
-
A.
McEwan Station
McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
-
B.
Kings Park station
Kings Park station is a commuter rail stop in Kings Park, New York, served by the Long Island Rail Road.
-
C.
Kipling station
Kipling station is a major western transit hub in Toronto that connects the subway system with regional buses and commuter services.
-
D.
Blair station
Blair station is an eastern Ottawa light rail transit station that serves as a key terminus and transfer point for the city’s O-Train network.
-
E.
Harborland Station
Harborland Station is a railway station in Kobe, Japan, serving as a key access point to the waterfront Harborland shopping and entertainment district.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57c86948190aa8ee765bd497850 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8686cc8190bb1f7b09cdbebcf7 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e31d54c8190aed9279181f1db2b |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83ef9ce408190907a62c9d0a6dc16 |
completed | March 28, 2026, 8:50 p.m. |
Created at: March 27, 2026, 3:43 p.m.