Triple
T2700534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corps of Royal New Zealand Engineers |
E59217
|
entity |
| Predicate | corpsType |
P4889
|
FINISHED |
| Object | engineer corps |
—
|
LITERAL 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: engineer corps | Statement: [Corps of Royal New Zealand Engineers, corpsType, engineer corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corpsType Context triple: [Corps of Royal New Zealand Engineers, corpsType, engineer corps]
-
A.
corpsNumber
Indicates that an entity is assigned a specific corps identification number within an organized group or military structure.
-
B.
corpsColour
Indicates the specific color associated with a military corps or unit.
-
C.
personnelType
Indicates the classification or role category assigned to a person within an organization or system.
-
D.
governmentBodyType
Indicates the classification or category of a governmental organization based on its structural or functional role.
-
E.
militaryOrganization
chosen
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda34ba508190be8e2c9e4052adfc |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.