Triple
T23738071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Rat |
E586589
|
entity |
| Predicate | associatedWithTimeBranch |
P153498
|
FINISHED |
| Object | Zi (子) |
—
|
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: Zi (子) | Statement: [Year of the Rat, associatedWithTimeBranch, Zi (子)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithTimeBranch Context triple: [Year of the Rat, associatedWithTimeBranch, Zi (子)]
-
A.
associatedWithTime
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
B.
relatesToBranch
Indicates a general association or connection between an entity and a specific branch (such as a subdivision, offshoot, or subunit) within a larger structure or system.
-
C.
affectedBranch
Indicates that one entity is a branch that is impacted or influenced by the state or actions associated with another entity.
-
D.
representedBranch
Indicates that one entity serves as a representative or proxy for a particular branch of another entity or organization.
-
E.
associatedWithTree
Indicates a relationship in which an entity is connected or related to a tree, such as by location, origin, use, or interaction.
- 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_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. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:11 p.m.