Triple
T38078299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Enterprise: A History of the Royal Mail |
E950779
|
entity |
| Predicate | countryDescribed |
P31872
|
FINISHED |
| Object | United Kingdom |
E732
|
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: United Kingdom | Statement: [Great Enterprise: A History of the Royal Mail, countryDescribed, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryDescribed Context triple: [Great Enterprise: A History of the Royal Mail, countryDescribed, United Kingdom]
-
A.
country2
Indicates a secondary or alternative country associated with an entity, such as a second nationality, location, or jurisdiction.
-
B.
countryFeatured
chosen
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
C.
countryDuring
Indicates that one entity exists, occurs, or is valid within the temporal span during which the other entity is recognized as a specific country.
-
D.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
-
E.
countryIn
Indicates that one entity is geographically or politically located within the boundaries of a specified country.
- F. None of above.
Provenance (4 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a415d1834fc8190879f88fb05c21529 |
completed | June 28, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.