Triple
T20049072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 智忠 |
E499142
|
entity |
| Predicate | hasSecondCharacterPosition |
P77809
|
FINISHED |
| Object | 忠 |
—
|
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: 忠 | Statement: [智忠, hasSecondCharacterPosition, 忠]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondCharacterPosition Context triple: [智忠, hasSecondCharacterPosition, 忠]
-
A.
hasSecond
chosen
Indicates that one entity is the second item, position, or element in an ordered sequence or pair relative to another entity.
-
B.
hasNextTwoCharactersMeaning
Indicates that the next two characters in a sequence together form a specific, meaningful unit or interpretation.
-
C.
isSecondOfName
Indicates that an entity is the second individual to bear a particular name within a given context or sequence.
-
D.
hasSecondary
Indicates that an entity is associated with an additional or subordinate counterpart beyond its primary one.
-
E.
hasSecondVarna
Indicates that an entity possesses or is associated with a specific second varna (social class or category) in a hierarchical classification system.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6632cccb481908278c8b2930a8c26 |
completed | April 20, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:37 p.m.