Triple
T21228490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PS-2 covered hopper |
E523142
|
entity |
| Predicate | hasBays |
P143299
|
FINISHED |
| Object | multiple bays |
—
|
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: multiple bays | Statement: [PS-2 covered hopper, hasBays, multiple bays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBays Context triple: [PS-2 covered hopper, hasBays, multiple bays]
-
A.
hasBusBays
Indicates that a location or facility is equipped with one or more designated bus bays for buses to stop, load, or unload passengers.
-
B.
numberOfBays
Indicates the count of distinct bays associated with or contained within a given entity.
-
C.
hasBayShape
Indicates that an entity possesses or exhibits a particular geometric or physical shape characteristic of a bay.
-
D.
hasBayPlatforms
Indicates that a station or terminal is equipped with bay platforms, where tracks end in a dead-end configuration and trains enter and exit from the same direction.
-
E.
hasNotableBay
Indicates that a place possesses a bay that is recognized for its significance, prominence, or special interest.
- F. None of above. chosen
Provenance (4 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_69e0b512ad94819087942b2ed925185f |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734ad5068819088b203eeba4e6380 |
completed | April 21, 2026, 8:26 a.m. |
| PD | Predicate disambiguation | batch_69e5f60e1a888190ba75e2e900270a4e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:44 p.m.