Triple
T26400839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bondamunda electric loco shed |
E663691
|
entity |
| Predicate | depotType |
P158072
|
FINISHED |
| Object | electric locomotive depot |
—
|
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: electric locomotive depot | Statement: [Bondamunda electric loco shed, depotType, electric locomotive depot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depotType Context triple: [Bondamunda electric loco shed, depotType, electric locomotive depot]
-
A.
depot
Indicates that an entity serves as a storage or distribution center location for another entity, such as goods, vehicles, or resources.
-
B.
depotFor
Indicates that one entity serves as a storage or distribution center location dedicated to supporting or supplying another entity.
-
C.
isPublicTransportDepot
chosen
Indicates that a location functions as a depot or base facility for public transportation vehicles and operations.
-
D.
berthType
Indicates the specific kind or category of berth associated with an entity, such as the type of sleeping or docking space provided.
-
E.
stationType
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610f38dc08190b2de9cc09f948fe7 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:31 p.m.