Triple
T30470011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thrill Hill East |
E775264
|
entity |
| Predicate | supportsLongTermProjects |
P199945
|
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: [Thrill Hill East, supportsLongTermProjects, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLongTermProjects Context triple: [Thrill Hill East, supportsLongTermProjects, true]
-
A.
hasLongRunningProject
chosen
Indicates that an entity is engaged in or responsible for a project that extends over a long duration of time.
-
B.
supportsLearningProjects
Indicates that one entity provides resources, assistance, or conditions that enable or enhance another entity’s learning-related projects or educational initiatives.
-
C.
supportsProjectsIn
Indicates that one entity provides assistance, resources, or backing for projects occurring within or associated with another entity.
-
D.
supportsLongTermMonitoring
Indicates that an entity enables or is compatible with ongoing, long-duration observation, tracking, or data collection over time.
-
E.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:11 p.m.