Triple
T38135801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinhai |
E952347
|
entity |
| Predicate | EarthlyBranchChinese |
P154836
|
FINISHED |
| Object | 亥 |
—
|
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: 亥 | Statement: [Xinhai, EarthlyBranchChinese, 亥]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EarthlyBranchChinese Context triple: [Xinhai, EarthlyBranchChinese, 亥]
-
A.
associatedWithEarthlyBranchPinyin
chosen
Indicates a relationship where something is linked to, corresponds with, or is represented by the pinyin form of a specific Chinese earthly branch.
-
B.
ChinaPosition
Indicates the stance, policy, or viewpoint officially held or expressed by China regarding a particular issue, event, or entity.
-
C.
ChineseVariant
Indicates that one linguistic form is a variant of another within the Chinese language (e.g., differing by script, region, or orthographic convention).
-
D.
earthlyBranchesCycleLength
Indicates the length of the repeating cycle formed by the sequence of earthly branches in a given calendrical or symbolic system.
-
E.
Chinese
Indicates that an entity is associated with China, typically by nationality, origin, language, or cultural affiliation.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:21 p.m.