Triple
T592460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandria tram |
E17305
|
entity |
| Predicate | electrificationDate |
P392
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Alexandria tram, electrificationDate, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electrificationDate Context triple: [Alexandria tram, electrificationDate, early 20th century]
-
A.
electrificationUsedBetween
Indicates that an electrification system or method is applied or present along the segment or connection between two entities.
-
B.
electrification
chosen
Indicates the process or state of providing electrical power or converting something to operate using electricity.
-
C.
electrificationSystem
Indicates the type of electrical power system used to supply energy (typically to infrastructure or vehicles) for operation.
-
D.
usesElectricityStandard
Indicates that one entity operates according to, or is compatible with, the electricity supply standard defined or used by another entity.
-
E.
usesElectricFrequency
Indicates that one entity operates or functions by relying on a specified electric frequency provided by another entity or context.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bbcaf5c81908de4e27096d3da13 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.