Triple
T14991345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DUNE |
E373840
|
entity |
| Predicate | collaborationStart |
P36447
|
FINISHED |
| Object | 2010s |
—
|
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: 2010s | Statement: [DUNE, collaborationStart, 2010s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collaborationStart Context triple: [DUNE, collaborationStart, 2010s]
-
A.
collaborationStartWork
chosen
Indicates the point in time when a collaborative effort between entities begins or is initiated.
-
B.
collaborationOf
Indicates a relationship in which two or more entities work together jointly toward a shared goal or outcome.
-
C.
collaborationModel
Indicates the type or structure of cooperative interaction or joint work established between entities.
-
D.
collaborationAspect
Indicates a specific characteristic, dimension, or feature of how entities collaborate or work together.
-
E.
collaborativeWork
Indicates a relationship where two or more entities jointly contribute effort or resources toward a shared task, project, or goal.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:53 a.m.