Triple
T16471933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Na |
E400082
|
entity |
| Predicate | nameComponentPosition |
P1082
|
FINISHED |
| Object | second element in Chinese personal name |
—
|
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: second element in Chinese personal name | Statement: [Na, nameComponentPosition, second element in Chinese personal name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameComponentPosition Context triple: [Na, nameComponentPosition, second element in Chinese personal name]
-
A.
namePosition
chosen
Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
-
B.
positionOfNamesake
Indicates that one entity occupies the role, rank, or spatial/organizational position associated with another entity for which it is named.
-
C.
nameElementIn
Indicates that an entity is (or contains) a specific name element within a larger naming structure or system.
-
D.
nameElement
Indicates that one entity serves as the name or label assigned to another entity or element.
-
E.
componentPosition
Indicates the spatial or logical placement of a component relative to a larger structure or 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd19df881909e4562a5e8473338 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:11 a.m.