Triple
T28093003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Wu |
E710006
|
entity |
| Predicate | commentaryCentury |
P169274
|
FINISHED |
| Object | 5th century |
—
|
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: 5th century | Statement: [Book of Wu, commentaryCentury, 5th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commentaryCentury Context triple: [Book of Wu, commentaryCentury, 5th century]
-
A.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
B.
collapseCentury
Indicates that one time period or event causes or undergoes a breakdown or compression of its century-level temporal distinction, effectively merging or reducing it into a different or broader timeframe.
-
C.
introductionCentury
Indicates the century during which something was first introduced or came into use.
-
D.
lostCentury
Indicates that a particular century or era has been forgotten, obscured, or is missing from records or collective knowledge.
-
E.
originalCentury
Indicates the century in which something was originally created, produced, or came into existence.
- F. None of above. chosen
Provenance (4 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f67d691a948190afa7fb19ae7d4ac5 |
completed | May 2, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67c9ec1708190b26ccf402ed7b106 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 27, 2026, 8:59 p.m.