Triple
T18954023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cai Guo-Qiang: Works 1985–2010 |
E463725
|
entity |
| Predicate | mediumDiscussed |
P75843
|
FINISHED |
| Object | gunpowder |
—
|
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: gunpowder | Statement: [Cai Guo-Qiang: Works 1985–2010, mediumDiscussed, gunpowder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediumDiscussed Context triple: [Cai Guo-Qiang: Works 1985–2010, mediumDiscussed, gunpowder]
-
A.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
B.
medium
Indicates that an entity serves as the means, channel, or intermediary through which an action, communication, or effect is carried out between other entities.
-
C.
discussedAs
chosen
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
D.
mediumCategory
Indicates the classification of an item or content according to the type or form of medium it belongs to (e.g., print, digital, audio, video).
-
E.
mediumRecognized
Indicates that a medium (such as a channel, format, or communication method) has been identified and acknowledged as valid or known within a given context.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d545f47881909110e6a92e86b384 |
completed | April 20, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon