Triple
T20531450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High-A West |
E504076
|
entity |
| Predicate | levelReassignedTo |
P14125
|
FINISHED |
| Object | High-A |
—
|
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: High-A | Statement: [High-A West, levelReassignedTo, High-A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelReassignedTo Context triple: [High-A West, levelReassignedTo, High-A]
-
A.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of another entity.
-
B.
levelCreatedOrRestored
Indicates that a level has either been newly created or returned to a previous, valid state after being altered or removed.
-
C.
designationLevel
chosen
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
D.
affectedLevel
Indicates the degree or extent to which one entity is impacted or influenced by another entity or event.
-
E.
exportLevel
Indicates the degree or extent to which something is produced in one place and sent out or made available to other places or markets.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06b923c81908ba24be6645a7c61 |
completed | April 20, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:37 a.m.