Triple
T15338498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Mail |
E366728
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | Parcelforce Worldwide |
E98696
|
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: Parcelforce Worldwide | Statement: [Royal Mail, subsidiary, Parcelforce Worldwide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parcelforce Worldwide Context triple: [Royal Mail, subsidiary, Parcelforce Worldwide]
-
A.
TNT Express
TNT Express is an international courier and logistics company known for its global parcel delivery and express mail services.
-
B.
StarTrack
StarTrack is an Australian logistics and freight company specializing in parcel delivery and express transport services.
-
C.
Courier Corporation
Courier Corporation is an American publishing company best known for owning Dover Publications and specializing in reprints and specialty print products.
-
D.
Parcel Force (as part of Royal Mail Group)
chosen
Parcel Force is a UK-based parcel delivery and courier service operated by the Royal Mail Group, providing domestic and international shipping solutions.
-
E.
DHL
DHL is the Dag Hammarskjöld Library, the United Nations’ main research and information resource center located at its headquarters in New York.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e11b22c81908280efe65acd5454 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f2ee9c819080fce24ed13a07c7 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.