Triple
T28671318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 53rd (Shropshire) Regiment of Foot |
E725725
|
entity |
| Predicate | servedInRegion |
P6665
|
FINISHED |
| Object | North America |
—
|
NE NERFINISHED |
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: North America | Statement: [53rd (Shropshire) Regiment of Foot, servedInRegion, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedInRegion Context triple: [53rd (Shropshire) Regiment of Foot, servedInRegion, North America]
-
A.
formerServesRegion
Indicates that an entity previously served, represented, or had official responsibility for a given region, but no longer does so.
-
B.
operatedInRegion
chosen
Indicates that an entity conducted operations or activities within a specified geographic region.
-
C.
servedProvince
Indicates that an entity has provided services or held jurisdictional authority over a specified province.
-
D.
isInhabitedRegionServed
Indicates that a particular inhabited region is provided with services or coverage by a specified entity (such as an organization, facility, or infrastructure).
-
E.
servesRegionAcrossFrom
Indicates that a service or entity operates in a region that is geographically located directly across from another specified region.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 28, 2026, 5:03 a.m.