Triple
T21812920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Box support |
E538520
|
entity |
| Predicate | classificationColor |
P145753
|
FINISHED |
| Object | green |
—
|
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: green | Statement: [Green Box support, classificationColor, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classificationColor Context triple: [Green Box support, classificationColor, green]
-
A.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
B.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
-
C.
classificationStart
Indicates the point in time or process at which a classification or categorization of an entity begins.
-
D.
classificationRole
Indicates that one entity serves as a classificatory role or type used to categorize or group another entity.
-
E.
classificationSystem
Indicates a relationship where an entity is organized or categorized according to a particular classification scheme or taxonomy.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc7ec1c8190a5420b44a49ae32f |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c670ee608190b9cfdc09de74f0de |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 6:53 p.m.