Triple
T9289662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas in the United States Senate |
E223484
|
entity |
| Predicate | startOfRepresentation |
P19506
|
FINISHED |
| Object | December 29, 1845 |
—
|
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: December 29, 1845 | Statement: [Texas in the United States Senate, startOfRepresentation, December 29, 1845]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfRepresentation Context triple: [Texas in the United States Senate, startOfRepresentation, December 29, 1845]
-
A.
representationBegins
Indicates that the act or state of representing something starts or comes into effect at a particular point in time.
-
B.
startTimeAsRepresentative
chosen
Indicates the time at which an entity begins serving or acting in a representative capacity.
-
C.
portrayalStart
Indicates the point in time or sequence at which a particular portrayal or depiction of something begins.
-
D.
firstPartRepresents
Indicates that the initial segment or portion of something stands for, symbolizes, or denotes a larger whole or specific concept.
-
E.
startTimeDepicted
Indicates that the subject visually represents the starting time of an event, process, or state.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08643a848190a8b5be1ccc0b2ef6 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a5aeb748190afb89c6bbd2a6d6f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.