Triple
T1817325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shut Up |
E40463
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Request + Line |
E198951
|
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: Request + Line | Statement: [Shut Up, follows, Request + Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Request + Line Context triple: [Shut Up, follows, Request + Line]
-
A.
"Request + Line"
"Request + Line" is a single by the band Bridging the Gap, recognized as one of their notable recorded tracks.
-
B.
track "Request + Line"
chosen
"Request + Line" is a song featured on the album *Bridging the Gap* by the Black Eyed Peas.
-
C.
line N
Line N is a Transilien suburban rail line serving the Paris region, connecting central Paris to western suburbs and towns.
-
D.
Line 1
Line 1 is one of the main east–west rapid transit lines of the Beijing Subway, serving as a core corridor through central Beijing.
-
E.
Line 1
Line 1 is the main north–south route of the Tehran Metro system, serving as one of its busiest and most important rapid transit lines.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65f7b84081909005ce36ef1199db |
completed | March 6, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6019bc81909266b7f03b282f34 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.