Triple
T31646317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCF |
E807592
|
entity |
| Predicate | proofConstructionStyle |
P172060
|
FINISHED |
| Object | interactive |
—
|
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: interactive | Statement: [LCF, proofConstructionStyle, interactive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proofConstructionStyle Context triple: [LCF, proofConstructionStyle, interactive]
-
A.
usedInProofStyle
Indicates that one entity is employed as a method, technique, or approach within the proof style or strategy of another entity.
-
B.
constructionMethod
Indicates the technique or process by which something is built, assembled, or created.
-
C.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
-
D.
structureStyle
Indicates the architectural or design style characterizing how a structure is built or formed.
-
E.
proceduralStyle
Indicates that one entity employs or is characterized by a particular procedural style associated with 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a956e9b08190bf83547bba8e8147 |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8036ab481908019f2f071fa406e |
completed | May 3, 2026, 1:42 a.m. |
Created at: April 30, 2026, 10:51 p.m.