Triple
T7620099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independent (United States) |
E172466
|
entity |
| Predicate | mayBeRecordedAs |
P78155
|
FINISHED |
| Object | no party preference |
—
|
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: no party preference | Statement: [Independent (United States), mayBeRecordedAs, no party preference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeRecordedAs Context triple: [Independent (United States), mayBeRecordedAs, no party preference]
-
A.
usedForRecordingBy
Indicates that something serves as a medium, tool, or device that is employed by an agent to make a recording.
-
B.
recordedFor
Indicates that something has been documented, captured, or logged on behalf of or in association with a particular entity or context.
-
C.
recordingOf
Indicates that one entity is an audio or video capture or performance that documents, represents, or preserves another entity (such as a work, event, or expression).
-
D.
recorded
Indicates that one entity captured, stored, or documented information, audio, video, or data about another entity or event.
-
E.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
- F. None of above. chosen
Provenance (4 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:55 p.m.