Triple
T27968303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 畲族 |
E704784
|
entity |
| Predicate | 传统产业 |
P163990
|
FINISHED |
| Object | 林业生产 |
—
|
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: 林业生产 | Statement: [畲族, 传统产业, 林业生产]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 传统产业 Context triple: [畲族, 传统产业, 林业生产]
-
A.
traditionalTrade
Indicates a relationship where goods or services are exchanged using long-established, customary methods rather than modern or digital trading systems.
-
B.
formerKeyIndustry
Indicates that an entity was once a primary or strategically important industry for another entity but no longer holds that status.
-
C.
industrialStructure
Indicates a structural or organizational relationship involving industrial facilities, systems, or frameworks.
-
D.
industryTransformed
Indicates that an entity has fundamentally changed the structure, practices, or dynamics of a particular industry.
-
E.
主な業態
Indicates the primary type or main form of business operation that characterizes an entity’s activities.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 7:36 p.m.