Triple
T28075759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longzhong Plan |
E709537
|
entity |
| Predicate | dateOfFormulation |
P140882
|
FINISHED |
| Object | c. 207 CE |
—
|
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: c. 207 CE | Statement: [Longzhong Plan, dateOfFormulation, c. 207 CE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFormulation Context triple: [Longzhong Plan, dateOfFormulation, c. 207 CE]
-
A.
formulatedInYear
Indicates the specific calendar year in which something was originally created, devised, or formally established.
-
B.
monthOfFormation
Indicates the specific calendar month in which an entity (such as an organization or group) was formally established or created.
-
C.
originallyFormulatedIn
chosen
Indicates that something (such as a theory, idea, or work) was first created, expressed, or formally stated in a particular place or time.
-
D.
inventedDuring
Indicates that an invention or concept was created or first developed within a specified time period or historical era.
-
E.
discoveryDate
Indicates the date on which something was first discovered or identified.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 27, 2026, 8:48 p.m.