Triple
T4151306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa House District 3 |
E89910
|
entity |
| Predicate | officeTitleOfRepresentative |
P28881
|
FINISHED |
| Object | State Representative |
—
|
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: State Representative | Statement: [Iowa House District 3, officeTitleOfRepresentative, State Representative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeTitleOfRepresentative Context triple: [Iowa House District 3, officeTitleOfRepresentative, State Representative]
-
A.
officeHolderTitle
Indicates the official position or title held by a person in an office or role.
-
B.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
-
C.
hasRepresentativeTitle
Indicates that an entity holds a formal title or designation that serves as its primary or most commonly used label or name.
-
D.
governmentOfficeOrTitleOf
Indicates that one entity is a government office or official title held by, associated with, or designating the role of another entity.
-
E.
currentOfficeHolderTitle
chosen
Indicates the official title or position name held by the person who currently occupies a given office or role.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af033ef6648190adde17f943d89c78 |
completed | March 9, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69af018c101081909070da5b11e5eb3d |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:44 p.m.