Triple
T9264330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridge Baby |
E222657
|
entity |
| Predicate | visualIndicator |
P33695
|
FINISHED |
| Object | causes pod to flash and shake near BTs |
—
|
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: causes pod to flash and shake near BTs | Statement: [Bridge Baby, visualIndicator, causes pod to flash and shake near BTs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualIndicator Context triple: [Bridge Baby, visualIndicator, causes pod to flash and shake near BTs]
-
A.
hasVisualIndicator
chosen
Indicates that an entity is associated with some form of visual cue or marker that signals its status, condition, or presence.
-
B.
usesIndicator
Indicates that one entity employs or relies on another entity as an indicator, signal, or metric for assessment, decision-making, or interpretation.
-
C.
visualizedIn
Indicates that something is represented or depicted within a particular visual medium, view, or visualization.
-
D.
indicatorExample
Indicates that one entity serves as an example or instance illustrating the characteristics, behavior, or usage of another entity.
-
E.
indicatorType
Indicates the specific kind or category of indicator associated with an entity or relationship.
- F. None of above.
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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0748a1f481909d9d876692cefccc |
completed | April 1, 2026, 11:53 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:32 p.m.