Triple
T23738057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Rat |
E586589
|
entity |
| Predicate | associatedElementSystem |
P48367
|
FINISHED |
| Object | Five Elements |
—
|
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: Five Elements | Statement: [Year of the Rat, associatedElementSystem, Five Elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedElementSystem Context triple: [Year of the Rat, associatedElementSystem, Five Elements]
-
A.
associatedSystem
Indicates that one entity is functionally or contextually linked to a particular system with which it interacts or to which it belongs.
-
B.
associatedWithElement
chosen
Indicates a relationship where one entity is linked or connected to a particular element, such that the element is relevant to, involved in, or characteristic of that entity.
-
C.
elementalAssociation
Indicates an association where one entity is linked or related to a particular element or elemental property (such as fire, water, earth, or air).
-
D.
featuresElementSystem
Indicates that a system includes or incorporates a particular element as one of its constituent parts or components.
-
E.
associatedItem
Indicates that one item is linked or connected to another in a relevant or context-dependent way, without specifying a more precise relationship.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad356c88190ae29ce403145ee73 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.