Triple
T15748660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTS Bus |
E381788
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
MTS Express
MTS Express is a faster, limited-stop bus service operated as part of the MTS Bus public transit system.
|
E1173539
|
NE FINISHED |
How this triple was built (4 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: MTS Express | Statement: [MTS Bus, hasPart, MTS Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTS Express Context triple: [MTS Bus, hasPart, MTS Express]
-
A.
TNT Express
TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
-
B.
National Express
National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
-
C.
StarTrack
StarTrack is an Australian logistics and freight company specializing in parcel delivery and express transport services.
-
D.
YRC Worldwide
YRC Worldwide is a large American less-than-truckload (LTL) freight transportation and logistics company headquartered in Overland Park, Kansas.
-
E.
United Parcel Service (UPS)
United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MTS Express Triple: [MTS Bus, hasPart, MTS Express]
Generated description
MTS Express is a faster, limited-stop bus service operated as part of the MTS Bus public transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTS Express Target entity description: MTS Express is a faster, limited-stop bus service operated as part of the MTS Bus public transit system.
-
A.
TNT Express
TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
-
B.
National Express
National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
-
C.
StarTrack
StarTrack is an Australian logistics and freight company specializing in parcel delivery and express transport services.
-
D.
YRC Worldwide
YRC Worldwide is a large American less-than-truckload (LTL) freight transportation and logistics company headquartered in Overland Park, Kansas.
-
E.
United Parcel Service (UPS)
United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
- F. None of above. chosen
Provenance (5 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502fd3608190b42e647b9c2b41a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff830b85408190b9ae4d6752524b99 |
completed | May 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69ff8388b3588190ae55c123bb19cb2c |
completed | May 9, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff84125e808190a4d465d9effad639 |
completed | May 9, 2026, 6:59 p.m. |
Created at: April 10, 2026, 4:46 a.m.