Triple
T22986509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anchor |
E571919
|
entity |
| Predicate | threadConstruction |
P150505
|
FINISHED |
| Object | stranded cotton floss |
—
|
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: stranded cotton floss | Statement: [Anchor, threadConstruction, stranded cotton floss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threadConstruction Context triple: [Anchor, threadConstruction, stranded cotton floss]
-
A.
threadType
Indicates the classification or category of a thread based on its purpose, content, or communication style.
-
B.
threadCount
Indicates the number of concurrent threads associated with an entity, such as a process, task, or execution context.
-
C.
threadBehavior
Indicates how a thread operates or responds under certain conditions within a concurrent or multi-threaded context.
-
D.
threadingRequirement
Indicates the conditions or constraints under which an operation must be executed with respect to threads (e.g., which thread or threading model is required).
-
E.
threadingBehavior
Indicates how execution threads are managed or utilized in performing an operation or maintaining a process.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829a96b8819082e0c6d7fb5d018f |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:49 p.m.