Triple
T25539853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asansol railway division |
E640146
|
entity |
| Predicate | hasMajorCommodityTraffic |
P32692
|
FINISHED |
| Object | coal |
—
|
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: coal | Statement: [Asansol railway division, hasMajorCommodityTraffic, coal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCommodityTraffic Context triple: [Asansol railway division, hasMajorCommodityTraffic, coal]
-
A.
handlesCargoTraffic
Indicates that an entity is responsible for managing or processing the movement of cargo traffic.
-
B.
hasCargoTrafficType
chosen
Indicates that an entity is associated with a specific type or category of cargo traffic it handles or supports.
-
C.
hasPassengerTrafficFrom
Indicates that an entity receives or handles passenger traffic originating from another entity.
-
D.
hasCargoTrafficLevel
Indicates the intensity or volume of cargo-related traffic associated with an entity, such as a route, location, or transport facility.
-
E.
hasMajorTransportInfrastructure
Indicates that a location possesses significant transportation facilities or networks, such as major roads, railways, ports, or airports, that support substantial movement of people or goods.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 21, 2026, 3:25 p.m.