Triple
T20782413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trains and Boats and Planes |
E511520
|
entity |
| Predicate | hasTitleWord |
P3254
|
FINISHED |
| Object | Trains |
—
|
NE NERFINISHED |
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: Trains | Statement: [Trains and Boats and Planes, hasTitleWord, Trains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trains Context triple: [Trains and Boats and Planes, hasTitleWord, Trains]
-
A.
Train
chosen
Train is an American pop rock band best known for hits like "Drops of Jupiter (Tell Me)" and "Hey, Soul Sister."
-
B.
Train
Train is a classic bomb defusal map in Counter-Strike: Global Offensive, known for its complex train-yard layout and emphasis on long-range engagements and tactical positioning.
-
C.
Steam Train
Steam Train is a YouTube gaming series and spin-off of Game Grumps in which Ross O’Donovan and co-hosts play and comment on video games.
-
D.
Traveltrain
Traveltrain is Queensland Rail’s long-distance passenger rail service brand, operating regional and tourist train journeys across Queensland, Australia.
-
E.
Railways
Railways is an Indian domestic cricket team representing the employees and institutions of Indian Railways in national competitions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28870e481909e7cbcdd6d4bc247 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.