Triple
T16583409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huizhou merchants |
E402892
|
entity |
| Predicate | educationIdeal |
P123397
|
FINISHED |
| Object | “study for officialdom, trade for wealth” |
—
|
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: “study for officialdom, trade for wealth” | Statement: [Huizhou merchants, educationIdeal, “study for officialdom, trade for wealth”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationIdeal Context triple: [Huizhou merchants, educationIdeal, “study for officialdom, trade for wealth”]
-
A.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
B.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
C.
educationProvision
Indicates the act or arrangement of supplying educational services, resources, or opportunities to individuals or groups.
-
D.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
E.
educationStandard
Indicates that an entity adheres to, is governed by, or is evaluated according to a specified educational benchmark, guideline, or required level of learning.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999f80c8190852fd4137bc45a80 |
completed | April 18, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e296a7d9d0819088555bca6c936e79 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7fb02f481908885a226c2191231 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.