Triple
T37463991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Puzzle Lab |
E930988
|
entity |
| Predicate | hasModeStructure |
P200554
|
FINISHED |
| Object | series of encounters |
—
|
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: series of encounters | Statement: [The Puzzle Lab, hasModeStructure, series of encounters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModeStructure Context triple: [The Puzzle Lab, hasModeStructure, series of encounters]
-
A.
haveStructure
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
B.
hasStructureLevel
Indicates a relationship where one entity possesses, is assigned, or is characterized by a particular structural level within a hierarchy or layered organization.
-
C.
hasDisplayStructure
Indicates that an entity is associated with a particular arrangement or organization of visual elements used for display or presentation.
-
D.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
E.
hasMainStructure
Indicates that one entity serves as the primary or central structural component of another entity.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff956dc6548190979171d4b4068d47 |
completed | May 9, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69ff93dc39c481908a97a12c3ef7dfe7 |
completed | May 9, 2026, 8:06 p.m. |
| PDg | Predicate description generation | batch_69ff956cd640819081efc31f313690b0 |
completed | May 9, 2026, 8:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.