Triple
T23294179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Rabbit |
E590116
|
entity |
| Predicate | associatedWithEarthlyBranch |
P2830
|
FINISHED |
| Object | Mao |
—
|
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: Mao | Statement: [Year of the Rabbit, associatedWithEarthlyBranch, Mao]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithEarthlyBranch Context triple: [Year of the Rabbit, associatedWithEarthlyBranch, Mao]
-
A.
associatedWithCelestialBody
Indicates a relationship in which an entity has a connection, link, or relevance to a specific celestial body (such as a planet, star, or moon).
-
B.
associatedWithGround
Indicates that an entity has a defined connection or relationship with the ground, such as contact, support, or reference.
-
C.
associatedWithSacredTree
Indicates a relationship in which an entity is linked or connected to a sacred tree, such as by location, significance, use, or ritual association.
-
D.
associatedPlanet
Indicates a relationship where one entity is linked or connected to a particular planet, typically as its relevant or corresponding planetary body.
-
E.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cdce7081908ca1cf9107b87f61 |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:02 p.m.