Triple
T5922831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CommonJS module system |
E131737
|
entity |
| Predicate | loadingStyle |
P25802
|
FINISHED |
| Object | synchronous |
—
|
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: synchronous | Statement: [CommonJS module system, loadingStyle, synchronous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loadingStyle Context triple: [CommonJS module system, loadingStyle, synchronous]
-
A.
loadingGauge
Indicates the clearance limits or spatial envelope within which a vehicle or load must fit to safely pass through infrastructure such as tunnels, bridges, or platforms.
-
B.
loadingMechanism
chosen
Indicates the method or system by which something is loaded into or onto another object or structure.
-
C.
stagingStyle
Indicates how an event, performance, or scene is arranged, presented, or visually organized in a given context.
-
D.
launchStatus
Indicates the current state or phase of a launch process, such as whether it is planned, in progress, successful, or failed.
-
E.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.