Triple
T34845703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moscow Metro 81-series trains |
E1004458
|
entity |
| Predicate | passengerFacilities |
P182304
|
FINISHED |
| Object | seating along car sides (longitudinal seating) |
—
|
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: seating along car sides (longitudinal seating) | Statement: [Moscow Metro 81-series trains, passengerFacilities, seating along car sides (longitudinal seating)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerFacilities Context triple: [Moscow Metro 81-series trains, passengerFacilities, seating along car sides (longitudinal seating)]
-
A.
passengerFacility
Indicates that a facility is designated for use by passengers, such as for boarding, waiting, or related passenger services.
-
B.
hasPassengerTerminalFacilities
Indicates that an entity provides facilities or infrastructure specifically intended for handling and serving passengers.
-
C.
passengerBuildings
Indicates that certain buildings are designated for use by passengers, such as for boarding, waiting, or related passenger services.
-
D.
transportationFacility
Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to another entity.
-
E.
airportFeature
Indicates that an airport possesses or is characterized by a particular feature, facility, or attribute.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4 p.m.