Triple
T22212542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Side High School Gym |
E548988
|
entity |
| Predicate | eraOfZollnerPistonsUse |
P57102
|
FINISHED |
| Object | 1940s |
—
|
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: 1940s | Statement: [North Side High School Gym, eraOfZollnerPistonsUse, 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfZollnerPistonsUse Context triple: [North Side High School Gym, eraOfZollnerPistonsUse, 1940s]
-
A.
pistons
Indicates a mechanical relationship where pistons convert pressure (often from combustion or fluid) into linear motion or vice versa within an engine or similar system.
-
B.
hasDrillHolesFrom
Indicates that an object bears drill holes that were created by another specified entity or process.
-
C.
eraUsedIn
chosen
Indicates that something (such as a method, standard, or practice) was in active use during a specified historical or temporal era.
-
D.
engineUsedIn
Indicates that a particular engine is utilized as a component or power source within a specified system, device, or application.
-
E.
cylinderUse
Indicates that one entity uses, operates, or relies on a cylinder as part of its function or activity.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2c8b608190b0047af4ac91b023 |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.