Triple
T34412252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorilla Rainforest |
E883303
|
entity |
| Predicate | hasEnrichmentPrograms |
P2489
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Gorilla Rainforest, hasEnrichmentPrograms, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnrichmentPrograms Context triple: [Gorilla Rainforest, hasEnrichmentPrograms, true]
-
A.
hasImmersionPrograms
Indicates that an entity offers or is associated with specialized programs designed to immerse participants deeply in a particular language, culture, or field of study.
-
B.
offersProgramsAt
Indicates that an organization or institution provides or runs specific programs at a particular location or facility.
-
C.
offersProgramsThrough
Indicates that one entity provides or delivers its programs, services, or courses by means of, or via the infrastructure or platform of, another entity.
-
D.
hasEducationalProgram
chosen
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
E.
offersHonorsPrograms
Indicates that an institution provides specialized honors-level academic programs or tracks to eligible participants.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: May 1, 2026, 1:59 a.m.