Triple
T10329136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | console.table |
E242833
|
entity |
| Predicate | argumentRole |
P90298
|
FINISHED |
| Object | data is the value to be displayed |
—
|
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: data is the value to be displayed | Statement: [console.table, argumentRole, data is the value to be displayed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: argumentRole Context triple: [console.table, argumentRole, data is the value to be displayed]
-
A.
argumentOf
chosen
Indicates that one entity functions as an argument (participant or operand) in relation to another entity, such as a predicate, event, or expression.
-
B.
anchorRole
Indicates that one entity serves as a primary or reference role to which other related roles or elements are connected or aligned.
-
C.
proofRole
Indicates the specific function or responsibility an entity has within the structure or presentation of a proof.
-
D.
antRole
Indicates that one entity has a specific role, function, or responsibility in relation to another entity.
-
E.
notationRole
Indicates a role or function that an entity plays specifically within a system of notation or symbolic representation.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cfd54c8190b6f88598339536d1 |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f64a648190a79980d647898eb0 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:52 a.m.