Triple
T20009453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Brighton Port Authority |
E494547
|
entity |
| Predicate | I Think We're Gonna Need a Bigger BoatReleaseYear |
P138349
|
FINISHED |
| Object | 2009 |
—
|
LITERAL 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: 2009 | Statement: [The Brighton Port Authority, I Think We're Gonna Need a Bigger BoatReleaseYear, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: I Think We're Gonna Need a Bigger BoatReleaseYear Context triple: [The Brighton Port Authority, I Think We're Gonna Need a Bigger BoatReleaseYear, 2009]
-
A.
Waterline
Indicates the level or line on an object or surface that marks where water reaches or has reached.
-
B.
All We Need_instanceOf
Indicates that the subject is an instance or specific example of the entity or concept "All We Need."
-
C.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
D.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
E.
fourthBoat
Indicates that an entity is the fourth boat in an ordered sequence or ranking of boats.
- F. None of above. chosen
Provenance (4 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a81c5881909692fcaaf59a57c9 |
completed | April 20, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:33 p.m.