Triple
T33156443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenmu City |
E848589
|
entity |
| Predicate | energyBase |
P178364
|
FINISHED |
| Object | part of national coal base in northern Shaanxi |
—
|
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: part of national coal base in northern Shaanxi | Statement: [Shenmu City, energyBase, part of national coal base in northern Shaanxi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyBase Context triple: [Shenmu City, energyBase, part of national coal base in northern Shaanxi]
-
A.
energyBaseType
Indicates the fundamental category or source type of energy associated with an entity or process.
-
B.
energyRegime
Indicates the specific range or mode of energy conditions under which a process, interaction, or system operates or is characterized.
-
C.
energyPotential
Indicates a relationship where one entity possesses or confers the capacity to perform work or cause change (potential energy) relative to another entity or state.
-
D.
energyContribution
Indicates the amount or role of energy that one entity provides or contributes to another entity, process, or system.
-
E.
energy
Indicates that an entity possesses, produces, consumes, or is associated with a quantifiable amount or type of energy.
- 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_69f3495b02d08190bb3d366823dffc21 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:28 a.m.