Triple
T10302712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay station |
E241671
|
entity |
| Predicate | LowerBayFunction |
P92999
|
FINISHED |
| Object | used for training and film shoots |
—
|
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: used for training and film shoots | Statement: [Bay station, LowerBayFunction, used for training and film shoots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: LowerBayFunction Context triple: [Bay station, LowerBayFunction, used for training and film shoots]
-
A.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
B.
lowerCourseEnvironment
Indicates that one course is conducted in a less advanced or less demanding learning environment compared to another course.
-
C.
lowerStage
Indicates that one entity is at a lower or earlier stage, level, or phase in a progression or hierarchy than another entity.
-
D.
bayName
Indicates that an entity has the specified name of a bay or is identified by that bay name.
-
E.
lowerLevelServes
Indicates that a lower-level component, service, or entity provides functionality or support to a higher-level component, service, or entity.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30846108190875042ab1c0204e0 |
completed | April 7, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f35e548190be3b4d92d65d2d20 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d29d7cf08190acd70cee634c5cdb |
completed | April 7, 2026, 9:47 a.m. |
Created at: April 6, 2026, 11:45 a.m.