Triple
T26436965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baotou Rare Earth High-Tech Industrial Development Zone |
E664974
|
entity |
| Predicate | hasPolicySupportFrom |
P49446
|
FINISHED |
| Object | Chinese central government |
—
|
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: Chinese central government | Statement: [Baotou Rare Earth High-Tech Industrial Development Zone, hasPolicySupportFrom, Chinese central government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPolicySupportFrom Context triple: [Baotou Rare Earth High-Tech Industrial Development Zone, hasPolicySupportFrom, Chinese central government]
-
A.
hasPolicySupport
chosen
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
-
B.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
C.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
D.
hasPolicyInterestOf
Indicates that one entity holds or is associated with a specific policy interest belonging to or concerning another entity.
-
E.
containsPolicyOn
Indicates that one entity includes, references, or incorporates a specific policy within it.
- 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_69ee883c851881909e2ab04efbb3c5fe |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 26, 2026, 11:54 p.m.