Triple
T31371014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singular: Act II |
E800162
|
entity |
| Predicate | hasProjectStructure |
P134317
|
FINISHED |
| Object | two acts |
—
|
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: two acts | Statement: [Singular: Act II, hasProjectStructure, two acts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProjectStructure Context triple: [Singular: Act II, hasProjectStructure, two acts]
-
A.
hasTestStructure
Indicates that an entity is associated with, or contains, a specific test-related structure used for evaluation or validation.
-
B.
haveStructure
chosen
Indicates that an entity possesses a particular internal organization, arrangement, or structural composition.
-
C.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
D.
hasProjectIn
Indicates that an entity is involved with or associated with a project that takes place within a specified location or context.
-
E.
hasStructureModel
Indicates that an entity is associated with, or represented by, a specific structural model.
- 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_69f224e6b7448190ac6bf97ad7364160 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a005e8a2f7c819085bfc6f04b866d87 |
completed | May 10, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_6a005de82ef08190a015b385d1d3443c |
completed | May 10, 2026, 10:28 a.m. |
Created at: April 29, 2026, 9:18 p.m.