Triple
T27801496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modelland Academy |
E702253
|
entity |
| Predicate | roleInModelland |
P194300
|
FINISHED |
| Object | primary training institution |
—
|
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: primary training institution | Statement: [Modelland Academy, roleInModelland, primary training institution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInModelland Context triple: [Modelland Academy, roleInModelland, primary training institution]
-
A.
roleInGameplay
Indicates the specific function or responsibility an entity has within the context of gameplay or game mechanics.
-
B.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
-
C.
playRoleIn
Indicates that an entity participates in or performs a specific function, character, or part within an event, context, or system.
-
D.
roleInWZRD
Indicates that an entity holds a specific role or function within the context of WZRD.
-
E.
roleInTheZeroTheorem
Indicates that an entity played a role in the film "The Zero Theorem."
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
| PDg | Predicate description generation | batch_69fd6a1a38f081908c573aee4696de4f |
completed | May 8, 2026, 4:44 a.m. |
Created at: April 27, 2026, 5:35 p.m.