Triple
T9318727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Lieutenant of Wiltshire |
E224189
|
entity |
| Predicate | precedenceWithinCounty |
P79496
|
FINISHED |
| Object | highest non-royal |
—
|
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: highest non-royal | Statement: [Lord Lieutenant of Wiltshire, precedenceWithinCounty, highest non-royal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedenceWithinCounty Context triple: [Lord Lieutenant of Wiltshire, precedenceWithinCounty, highest non-royal]
-
A.
rankInCountyPrecedence
chosen
Indicates the relative ordering or priority assigned to an entity within the precedence hierarchy specific to a given county.
-
B.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
C.
inCounty
Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
-
D.
traditionalCountyIncludes
Indicates that a traditional or historic county geographically contains or encompasses another area or entity within its boundaries.
-
E.
isInCountySubdivision
Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358c7d348190a10fd8670d7756f5 |
completed | April 1, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:38 p.m.