Triple
T16936926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Picton |
E410852
|
entity |
| Predicate | ferryOperator |
P5933
|
FINISHED |
| Object |
Bluebridge
Bluebridge is a New Zealand ferry company that operates passenger and vehicle services across the Cook Strait between the North and South Islands.
|
E1241500
|
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: Bluebridge | Statement: [Picton, ferryOperator, Bluebridge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bluebridge Context triple: [Picton, ferryOperator, Bluebridge]
-
A.
Hackbridge
Hackbridge is a suburban district in South London known for its residential character and sustainable development initiatives.
-
B.
Stepstone
Stepstone is a company that employed computer scientist Brad Cox, co-creator of the Objective-C programming language.
-
C.
Blue Bridge
Blue Bridge is a historic and notably wide cast-iron bridge in Saint Petersburg, Russia, spanning the Moika River near Saint Isaac's Square.
-
D.
Blue Bridge
Blue Bridge is a prominent vehicular bridge spanning the Columbia River near Pasco, Washington, serving as a key transportation link in the Tri-Cities area.
-
E.
Blue Bridge
Blue Bridge is a notable pedestrian bridge in London’s St James’s Park that offers popular views across the park’s lake toward landmarks such as Buckingham Palace and the London Eye.
- 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: Bluebridge Triple: [Picton, ferryOperator, Bluebridge]
Generated description
Bluebridge is a New Zealand ferry company that operates passenger and vehicle services across the Cook Strait between the North and South Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bluebridge Target entity description: Bluebridge is a New Zealand ferry company that operates passenger and vehicle services across the Cook Strait between the North and South Islands.
-
A.
Hackbridge
Hackbridge is a suburban district in South London known for its residential character and sustainable development initiatives.
-
B.
Stepstone
Stepstone is a company that employed computer scientist Brad Cox, co-creator of the Objective-C programming language.
-
C.
Blue Bridge
Blue Bridge is a historic and notably wide cast-iron bridge in Saint Petersburg, Russia, spanning the Moika River near Saint Isaac's Square.
-
D.
Blue Bridge
Blue Bridge is a prominent vehicular bridge spanning the Columbia River near Pasco, Washington, serving as a key transportation link in the Tri-Cities area.
-
E.
Blue Bridge
Blue Bridge is a notable pedestrian bridge in London’s St James’s Park that offers popular views across the park’s lake toward landmarks such as Buckingham Palace and the London Eye.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2adf448190ab0dbebb3addbd80 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfe5210c8190873be6ccf2369b34 |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0a0852c8190991af93d50fa2216 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d14b83d88190b3dbc124d5b33029 |
completed | May 10, 2026, 6:41 p.m. |
Created at: April 10, 2026, 5:30 a.m.