Triple
T9289661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas in the United States Senate |
E223484
|
entity |
| Predicate | continuousRepresentationSince |
P12504
|
FINISHED |
| Object | 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: 1845 | Statement: [Texas in the United States Senate, continuousRepresentationSince, 1845]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuousRepresentationSince Context triple: [Texas in the United States Senate, continuousRepresentationSince, 1845]
-
A.
hasRepresentationContinuity
Indicates that one entity maintains a consistent or continuous representational relationship with another across time, context, or state changes.
-
B.
representedSince
chosen
Indicates that one entity has been acting as a representative or agent for another entity continuously from a specified starting time.
-
C.
continuityFrom
Indicates that one entity continues, extends, or proceeds directly from another in a seamless or unbroken manner.
-
D.
continuityRelation
Indicates a relationship where one entity directly follows, extends, or maintains an unbroken connection with another in space, time, or logical sequence.
-
E.
existsSince
Indicates that an entity has been in existence or valid from a specified point in time onward.
- 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.