Triple
T18758120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CA |
E458700
|
entity |
| Predicate | relatesToPositionType |
P4475
|
FINISHED |
| Object | service chief |
—
|
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: service chief | Statement: [CA, relatesToPositionType, service chief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatesToPositionType Context triple: [CA, relatesToPositionType, service chief]
-
A.
refersToPosition
Indicates that one entity makes reference to, or is associated with, a specific position or location of another entity.
-
B.
typicalPositionType
Indicates the usual or most common positional role or placement type that an entity generally occupies or is associated with.
-
C.
meetsInRelationTo
Indicates that two or more entities come together or interact within the context of a specified relationship or circumstance.
-
D.
appliesToPosition
chosen
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
-
E.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f42d0881909bd9ca9c7916516a |
completed | April 20, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.