Triple
T23994287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Senate from Maryland |
E605149
|
entity |
| Predicate | hasSenatorTitle |
P100514
|
FINISHED |
| Object | United States Senator from Maryland |
—
|
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: United States Senator from Maryland | Statement: [United States Senate from Maryland, hasSenatorTitle, United States Senator from Maryland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSenatorTitle Context triple: [United States Senate from Maryland, hasSenatorTitle, United States Senator from Maryland]
-
A.
hasUSSenator
Indicates that a specified state or jurisdiction is represented by a particular individual serving as a United States Senator.
-
B.
hasLegislativeBodyTitle
chosen
Indicates the official title or designation used for the legislative body associated with an entity.
-
C.
hasFormerSenator
Indicates that an entity previously held the position of senator for another entity (such as a state, country, or organization).
-
D.
succeededInOfficeAsSenatorBy
Indicates that one senator left office and was directly followed in that same senatorial position by another specific senator.
-
E.
hasSenateSeatsSince
Indicates that an entity has held a specified number of seats in a senate starting from a particular point in time.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38dbf78819081826f86bf578069 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.