Triple
T1894749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant of Berkshire |
E41952
|
entity |
| Predicate | honoraryMilitaryRole |
P9463
|
FINISHED |
| Object | links with local units of the armed forces |
—
|
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: links with local units of the armed forces | Statement: [Lord Lieutenant of Berkshire, honoraryMilitaryRole, links with local units of the armed forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoraryMilitaryRole Context triple: [Lord Lieutenant of Berkshire, honoraryMilitaryRole, links with local units of the armed forces]
-
A.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
B.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
honoursSystemRole
Indicates that one entity respects, preserves, or correctly applies the designated system-level role of another entity or process.
-
D.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
E.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.