Triple
T16084488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNT Express |
E390192
|
entity |
| Predicate | brandName |
P1500
|
FINISHED |
| Object | TNT Express |
E390192
|
NE 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: TNT Express | Statement: [TNT Express, brandName, TNT Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TNT Express Context triple: [TNT Express, brandName, TNT Express]
-
A.
TNT Express
chosen
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.
MTS Express
MTS Express is a faster, limited-stop bus service operated as part of the MTS Bus public transit system.
-
D.
StarTrack
StarTrack is an Australian logistics and freight company specializing in parcel delivery and express transport services.
-
E.
Channel Express
Channel Express was a British airline that operated cargo and passenger services before rebranding and evolving into the low-cost carrier Jet2.com.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1844d7d688190b5badac7a8014f89 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48ef3608190848d4730a4361395 |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.