Triple
T38560282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ZN stain |
E928060
|
entity |
| Predicate | usesMordantOrAid |
P192622
|
FINISHED |
| Object | heat |
—
|
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: heat | Statement: [ZN stain, usesMordantOrAid, heat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMordantOrAid Context triple: [ZN stain, usesMordantOrAid, heat]
-
A.
usesDyes
Indicates that one entity employs or applies dyes in relation to another entity or process.
-
B.
isDepictedInTinctures
Indicates that an entity is represented using specific heraldic colors or tinctures in a depiction.
-
C.
usesTincture
Indicates that one entity employs or applies a tincture in relation to another entity or context.
-
D.
usesChemistry
Indicates that one entity applies or relies on chemistry, chemical methods, or chemical principles in relation to another entity or context.
-
E.
mitreLiningTincture
Indicates the heraldic tincture (color or pattern) used specifically for the lining of a mitre.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
| PDg | Predicate description generation | batch_69fd19f6a7888190aa7eee2b87687c53 |
completed | May 7, 2026, 11:02 p.m. |
Created at: May 3, 2026, 4:32 p.m.