Triple
T32872914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd Regiment of Foot |
E840838
|
entity |
| Predicate | traditionalRecruitingArea |
P4674
|
FINISHED |
| Object | Wales |
—
|
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: Wales | Statement: [23rd Regiment of Foot, traditionalRecruitingArea, Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalRecruitingArea Context triple: [23rd Regiment of Foot, traditionalRecruitingArea, Wales]
-
A.
laterRecruitmentRegion
Indicates that one entity’s recruitment occurred in a region that was involved at a later stage or phase compared to another recruitment region.
-
B.
recruit
Indicates bringing a person or group into an organization, cause, or activity, typically to join or participate.
-
C.
recruitingFocus
Indicates that an entity’s recruitment efforts are specifically directed toward or concentrated on another entity or group.
-
D.
recruitmentBase
chosen
Indicates the foundational source, location, or context from which recruitment efforts or recruited entities originate.
-
E.
recruitmentFrom
Indicates that one entity recruits or sources members, employees, or participants from another entity.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:17 a.m.