Triple
T11922183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Bernice Johnson |
E283681
|
entity |
| Predicate | precededByAsRepresentativeForTX30 |
P102373
|
FINISHED |
| Object | District created |
—
|
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: District created | Statement: [Eddie Bernice Johnson, precededByAsRepresentativeForTX30, District created]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByAsRepresentativeForTX30 Context triple: [Eddie Bernice Johnson, precededByAsRepresentativeForTX30, District created]
-
A.
precededInThirdTermBy
Indicates that one entity occurs immediately before another entity specifically in the third term or position of an ordered sequence or structure.
-
B.
precededByAsRepresentativeForNC11
Indicates that one entity previously acted as a representative for another entity in the context of NC11 before the current representative relationship.
-
C.
wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
-
D.
classPrecededBy
Indicates that one class occurs or is scheduled before another class in a sequence or timetable.
-
E.
cededTo
Indicates that control, ownership, or authority over something was formally transferred from one entity to another.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e1b08481909ed291667035f330 |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.