Triple
T32845593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hòu Liáng |
E840088
|
entity |
| Predicate | militaryBaseOfFounder |
P186978
|
FINISHED |
| Object | Bianzhou |
—
|
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: Bianzhou | Statement: [Hòu Liáng, militaryBaseOfFounder, Bianzhou]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryBaseOfFounder Context triple: [Hòu Liáng, militaryBaseOfFounder, Bianzhou]
-
A.
militaryUnitFounded
Indicates that a specific military unit was established or created at a particular time or by a particular founding action.
-
B.
occupationOfFounder
Indicates the professional role or job held by the founder of an entity.
-
C.
foundedOnSiteOf
Indicates that something was established or built at the same physical location where another, earlier entity or structure previously existed.
-
D.
founderBirthPlace
Indicates the place where the founder of an entity was born.
-
E.
locatedInSettlementFoundedBy
Indicates that something is located in a settlement that was founded by a specified entity.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb2e9309fc81909dfefd9020d6fbad |
completed | May 6, 2026, 12:05 p.m. |
Created at: May 1, 2026, 1:16 a.m.