Triple
T16148595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gang Green |
E391850
|
entity |
| Predicate | typeOfSupportGroup |
P80302
|
FINISHED |
| Object | college student section |
—
|
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: college student section | Statement: [Gang Green, typeOfSupportGroup, college student section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSupportGroup Context triple: [Gang Green, typeOfSupportGroup, college student section]
-
A.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
B.
supportersGroupType
chosen
Indicates the classification or category of a supporters group associated with an entity.
-
C.
supportsGroupType
Indicates that one entity is compatible with or able to support a particular category or type of group.
-
D.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
E.
hasSupporterGroup
Indicates that an entity is associated with a group of supporters that backs, promotes, or advocates for it.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d9551e081908391061b092ff31b |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e182885bc08190822ae7e8a4b8ac1f |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.