Triple
T30153356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROCI Tibet |
E766453
|
entity |
| Predicate | sponsorProject |
P78082
|
FINISHED |
| Object | Rauschenberg Overseas Culture Interchange |
—
|
NE NERFINISHED |
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: Rauschenberg Overseas Culture Interchange | Statement: [ROCI Tibet, sponsorProject, Rauschenberg Overseas Culture Interchange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorProject Context triple: [ROCI Tibet, sponsorProject, Rauschenberg Overseas Culture Interchange]
-
A.
sponsorTo
chosen
Indicates that one entity provides support, funding, or endorsement to another entity, typically to enable or promote the latter’s activities or initiatives.
-
B.
sponsorInHouse
Indicates that one entity formally supports, promotes, or funds another entity within the same organization, institution, or internal setting.
-
C.
sponsorFrom
Indicates that one entity provides sponsorship or financial backing originating from a specified source entity.
-
D.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
-
E.
sponsorField
Indicates that one entity acts as a sponsor specifically in the context of a particular field, domain, or area associated with another entity.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 7:20 p.m.