Triple
T31970139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS-24 Scalpel |
E816288
|
entity |
| Predicate | railSystemFeature |
P143540
|
FINISHED |
| Object | disguised as ordinary freight train |
—
|
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: disguised as ordinary freight train | Statement: [SS-24 Scalpel, railSystemFeature, disguised as ordinary freight train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railSystemFeature Context triple: [SS-24 Scalpel, railSystemFeature, disguised as ordinary freight train]
-
A.
railSystemType
Indicates the specific category or classification of a rail transportation system that an entity belongs to or operates within.
-
B.
railwayStationFeature
Indicates that a railway station possesses or is characterized by a particular feature, facility, or attribute.
-
C.
hasRailSystem
Indicates that an entity possesses or is served by a rail-based transportation system.
-
D.
railroadEngineeringFeature
Indicates a feature, element, or characteristic specifically related to the design, construction, or operation of railroad engineering systems.
-
E.
transportInfrastructureFeature
chosen
Indicates a relationship where an entity is a specific element or component of transport infrastructure, such as roads, railways, or related facilities.
- 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_69f348f5ae5481909da0247869f51955 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b307715881908825d891df5304e6 |
completed | May 3, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:10 a.m.