Triple
T32217543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etawah Junction railway station |
E822967
|
entity |
| Predicate | hasGoodsHandling |
P78735
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Etawah Junction railway station, hasGoodsHandling, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGoodsHandling Context triple: [Etawah Junction railway station, hasGoodsHandling, yes]
-
A.
hasGoodsServices
Indicates that one entity provides, offers, or is associated with specific goods or services in relation to another entity.
-
B.
hasCargoHandlingMode
Indicates the method or procedure by which cargo is handled, loaded, or unloaded in a given context.
-
C.
hasGoodsYard
chosen
Indicates that a location or facility includes or is equipped with a goods yard for handling freight or cargo.
-
D.
includesGoods
Indicates that one entity contains or comprises certain goods as part of its contents or composition.
-
E.
hasCargoServices
Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bbbfc1f8819096f7f4b34573db85 |
completed | May 3, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:37 a.m.