Triple
T37497387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinyi County |
E931863
|
entity |
| Predicate | powerGrid |
P102201
|
FINISHED |
| Object | China Southern Power Grid |
—
|
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: China Southern Power Grid | Statement: [Xinyi County, powerGrid, China Southern Power Grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerGrid Context triple: [Xinyi County, powerGrid, China Southern Power Grid]
-
A.
powerLocation
Indicates that an entity’s power, authority, or influence is situated in, originates from, or is exercised within a particular location.
-
B.
powerDistribution
Indicates how authority, control, or influence is allocated and shared among entities within a system or relationship.
-
C.
electricalPower
Indicates that one entity supplies, carries, or is associated with electrical power to or for another entity.
-
D.
electrificationServedBy
chosen
Indicates that the electrification of a system, area, or infrastructure is provided, supported, or enabled by a specified source, service, or entity.
-
E.
energyHub
Indicates a central entity that collects, manages, and distributes energy or power among connected entities or systems.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:17 p.m.