Triple
T28019869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M Track |
E707655
|
entity |
| Predicate | hasElectricalPolarity |
P32373
|
FINISHED |
| Object | outer rails as common return |
—
|
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: outer rails as common return | Statement: [M Track, hasElectricalPolarity, outer rails as common return]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectricalPolarity Context triple: [M Track, hasElectricalPolarity, outer rails as common return]
-
A.
electricalPolarity
chosen
Indicates that there is a relationship specifying the direction or type of electrical charge or potential difference associated with an entity or connection.
-
B.
hasElectricalProperty
Indicates that an entity possesses a specific electrical characteristic or behavior, such as conductivity, resistance, or charge-related properties.
-
C.
isElectrically
Indicates that one entity has an electrical property, connection, or interaction in relation to another entity.
-
D.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
E.
hasElectrode
Indicates that one entity is equipped with, contains, or is associated with an electrode component.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 8:09 p.m.