Triple
T38135818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinhai |
E952347
|
entity |
| Predicate | associatedZodiacAnimal |
P153497
|
FINISHED |
| Object | Pig |
—
|
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: Pig | Statement: [Xinhai, associatedZodiacAnimal, Pig]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedZodiacAnimal Context triple: [Xinhai, associatedZodiacAnimal, Pig]
-
A.
hasZodiacAnimal
chosen
Indicates that one entity is associated with a particular zodiac animal in an astrological or calendrical system.
-
B.
zodiacRelation
Indicates a relationship between entities based on their positions or compatibility within the zodiac or astrological system.
-
C.
animalSymbol
Indicates that one entity serves as a symbolic representation or emblem of the other in the form of an animal.
-
D.
zodiacSignsDepicted
Indicates that one entity visually represents or portrays the zodiac signs in relation to another entity.
-
E.
positionInZodiac
Indicates the specific place or rank an entity occupies within the ordered sequence of zodiac signs.
- 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_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.