Triple
T10454287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas mid-decade redistricting 2003 |
E246510
|
entity |
| Predicate | affectedDistrictType |
P80652
|
FINISHED |
| Object | congressional districts |
—
|
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: congressional districts | Statement: [Texas mid-decade redistricting 2003, affectedDistrictType, congressional districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectedDistrictType Context triple: [Texas mid-decade redistricting 2003, affectedDistrictType, congressional districts]
-
A.
typeOfDistrict
chosen
Indicates the specific category or classification to which a given district belongs.
-
B.
affectedCity
Indicates that a particular city is impacted or influenced by a specified event, action, or condition.
-
C.
affectedArea
Indicates the specific region or extent over which an event, condition, or influence has an impact.
-
D.
cityDistrictType
Indicates the type or classification of a city district within an urban or administrative structure.
-
E.
includesDistrict
Indicates that one administrative or geographic entity contains or encompasses a specific district within its boundaries.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe47fee48190b38ec0466ff0165a |
completed | April 7, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:17 p.m.