Triple
T21214375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Interconnection |
E522797
|
entity |
| Predicate | intertieLocation |
P24733
|
FINISHED |
| Object | DC ties at Texas–Mexico border |
—
|
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: DC ties at Texas–Mexico border | Statement: [Texas Interconnection, intertieLocation, DC ties at Texas–Mexico border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intertieLocation Context triple: [Texas Interconnection, intertieLocation, DC ties at Texas–Mexico border]
-
A.
gridInterconnection
chosen
Indicates a connection or linkage between electrical grids that allows power exchange or coordinated operation.
-
B.
connectsLocation
Indicates a relationship where one entity serves as a link or route that joins or provides access between two locations.
-
C.
intakeLocation
Indicates the place or facility where an entity is initially received, admitted, or taken in.
-
D.
connectionLocation
Indicates the place or spatial context where a connection between entities occurs or is established.
-
E.
interfaceLocation
Indicates the spatial or logical position where two systems, components, or entities meet and interact.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734727a30819089c433e4fe6f438a |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:39 p.m.