Triple
T26260916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiang region |
E656843
|
entity |
| Predicate | hasNotableThinker |
P33851
|
FINISHED |
| Object | Zeng Guofan |
—
|
NE NERFINISHED |
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: Zeng Guofan | Statement: [Xiang region, hasNotableThinker, Zeng Guofan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableThinker Context triple: [Xiang region, hasNotableThinker, Zeng Guofan]
-
A.
hasNotableStatesman
chosen
Indicates that an entity is associated with or distinguished by a prominent political leader or statesman.
-
B.
hasNotablePeople
Indicates that certain people associated with an entity are distinguished or noteworthy in some recognized way.
-
C.
notablePhilosopher
Indicates that the subject is recognized as a philosopher of particular significance or influence.
-
D.
notableTheorist
Indicates that the subject is recognized as a significant or influential theorist in relation to the object or specified field.
-
E.
hasNotableNamesakeContribution
Indicates that an entity has made a significant contribution specifically related to or inspired by its notable namesake.
- 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_69ee5b4e21bc819082be98bc9ab09796 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: April 26, 2026, 9:10 p.m.