Triple
T37328530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nottinghamshire and Derbyshire Regiment |
E926675
|
entity |
| Predicate | hasRegimentalRecruitingArea |
P36182
|
FINISHED |
| Object | Nottinghamshire |
E23795
|
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: Nottinghamshire | Statement: [Nottinghamshire and Derbyshire Regiment, hasRegimentalRecruitingArea, Nottinghamshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegimentalRecruitingArea Context triple: [Nottinghamshire and Derbyshire Regiment, hasRegimentalRecruitingArea, Nottinghamshire]
-
A.
garrisonOrRecruitmentArea
chosen
Indicates an area designated for stationing military forces or for recruiting personnel into those forces.
-
B.
regimentalDistrict
Indicates the administrative or geographic district to which a military regiment is officially assigned or associated.
-
C.
hasRegimentalIdentity
Indicates that an entity possesses or is associated with a specific regimental identity, such as belonging to or being characterized by a particular regiment.
-
D.
militaryDistrict
Indicates that an entity functions as, or is located within, an administrative military district or region under military jurisdiction.
-
E.
regimentalAssociation
Indicates a formal relationship in which an entity is affiliated with, belongs to, or is organized as part of a specific military regiment.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a409eef3e5c8190a094a3912822c52b |
completed | June 28, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.