Triple
T8127484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehran Urban and Suburban Railway and Bus Company |
E189768
|
entity |
| Predicate | operatesInTransportSector |
P23255
|
FINISHED |
| Object | urban rail |
—
|
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: urban rail | Statement: [Tehran Urban and Suburban Railway and Bus Company, operatesInTransportSector, urban rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInTransportSector Context triple: [Tehran Urban and Suburban Railway and Bus Company, operatesInTransportSector, urban rail]
-
A.
transportationSector
chosen
Indicates a relationship where an entity is involved in, associated with, or classified as part of the transportation sector or transportation-related activities.
-
B.
operatorOfTransportInfrastructure
Indicates that an entity operates, manages, or runs a specific piece of transport infrastructure.
-
C.
transportationRole
Indicates a role or function that an entity has specifically in the context of providing, operating, or supporting transportation.
-
D.
typeOfTransportInfrastructure
Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
-
E.
transports
Indicates that one entity carries or conveys another entity from one place to another.
- 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_69ca82bb74848190afb1f18640632c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:34 p.m.