Triple
T2285077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesla Supercharger network |
E51369
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Urban Supercharger |
E51369
|
NE 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: Urban Supercharger | Statement: [Tesla Supercharger network, hasPart, Urban Supercharger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urban Supercharger Context triple: [Tesla Supercharger network, hasPart, Urban Supercharger]
-
A.
Tesla Supercharger network
chosen
The Tesla Supercharger network is a global system of high-speed electric vehicle charging stations designed primarily for Tesla cars, enabling rapid long-distance travel.
-
B.
City Loop
City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
-
C.
Tesla Megacharger
Tesla Megacharger is a high-power fast-charging system developed by Tesla to rapidly charge its electric Semi trucks for long-haul commercial use.
-
D.
Urban Jungle
Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
-
E.
Urban Light
Urban Light is a large-scale outdoor installation by artist Chris Burden composed of restored vintage street lamps, prominently displayed at the entrance of the Los Angeles County Museum of Art.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc245dd208190b13c5f5d05aa6990 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1759b081908842f7ad189994ff |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.