Triple
T1860818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing-Tianjin-Hebei region |
E34805
|
entity |
| Predicate | hasDevelopmentGoal |
P8766
|
FINISHED |
| Object | industrial upgrading |
—
|
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: industrial upgrading | Statement: [Beijing-Tianjin-Hebei region, hasDevelopmentGoal, industrial upgrading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevelopmentGoal Context triple: [Beijing-Tianjin-Hebei region, hasDevelopmentGoal, industrial upgrading]
-
A.
hasDevelopmentAgenda
chosen
Indicates that an entity maintains or follows a specific plan, set of priorities, or strategic goals guiding its development activities or initiatives.
-
B.
aimsToDevelop
Indicates an entity’s intention or effort to create, improve, or bring about another entity, outcome, or capability.
-
C.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
D.
hasDevelopmentType
Indicates the type or category of development associated with an entity, such as the nature, form, or stage of its development.
-
E.
hasManagementGoal
Indicates that an entity is associated with a specific management objective or target it is intended to achieve or support.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:34 p.m.