Triple
T12005480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goats Head Soup |
E285768
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Silver Train |
E959406
|
NE 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: Silver Train | Statement: [Goats Head Soup, hasPart, Silver Train]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Train Context triple: [Goats Head Soup, hasPart, Silver Train]
-
A.
Silver Train
chosen
"Silver Train" is a bluesy rock song by The Rolling Stones, released in 1973 and known for its gritty guitar riffs and train-themed lyrics.
-
B.
Blue Train
"Blue Train" is a song featured on the country album "Western Wall: The Tucson Sessions" by Linda Ronstadt and Emmylou Harris.
-
C.
Blue Train
"Blue Train" is a landmark 1957 hard bop jazz album by saxophonist John Coltrane, widely regarded as one of his greatest recordings and a classic of the Blue Note label.
-
D.
Ghost Train
Ghost Train is a classic dark ride attraction featuring spooky scenes and special effects, located at the Blackpool Pleasure Beach amusement park in England.
-
E.
Light Train
Light Train is a type of urban rail transit system characterized by relatively low weight vehicles, moderate capacity, and operation often on dedicated or semi-exclusive tracks for short- to medium-distance passenger transport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c481a48190b311d6809808ef1b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d259f7c81908366e7d9e61a6c73 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.