Triple
T19590447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict's qualitative reagent for glucose |
E470215
|
entity |
| Predicate | citrateRole |
P136381
|
FINISHED |
| Object | complexes copper(II) ions |
—
|
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: complexes copper(II) ions | Statement: [Benedict's qualitative reagent for glucose, citrateRole, complexes copper(II) ions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citrateRole Context triple: [Benedict's qualitative reagent for glucose, citrateRole, complexes copper(II) ions]
-
A.
carbonRole
Indicates the functional role or involvement that an entity has in relation to carbon within a given process, system, or context.
-
B.
citrusComponent
Indicates that one entity is a component, ingredient, or constituent part derived from a citrus source in relation to another entity.
-
C.
containsCitricAcid
Indicates that one entity includes citric acid as a component or ingredient within it.
-
D.
roleInCitadel
Indicates the specific function, position, or responsibility an entity holds within a citadel or fortified complex.
-
E.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640552db48190b34555e4b72a75c4 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.