Triple
T19996178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Legion |
E494197
|
entity |
| Predicate | typeOfEnlistment |
P26488
|
FINISHED |
| Object | mercenary-like service with political overtones |
—
|
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: mercenary-like service with political overtones | Statement: [British Legion, typeOfEnlistment, mercenary-like service with political overtones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEnlistment Context triple: [British Legion, typeOfEnlistment, mercenary-like service with political overtones]
-
A.
enrollmentType
chosen
Indicates the specific category or mode under which an entity is enrolled in a program, service, or system.
-
B.
enlistedIn
Indicates that an individual has formally joined and is serving in a particular military or service organization.
-
C.
enrollment
Indicates the formal act of registering or being registered in a course, program, or institution, establishing an official participant–provider relationship.
-
D.
typeOfCadetForce
Indicates the specific category or kind of cadet force to which an entity belongs.
-
E.
tribalEnrollmentBasis
Indicates the basis or criteria on which an individual’s enrollment or membership in a tribe is determined.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe3fb288190a935c334e8a5d54e |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:32 p.m.