Triple
T9575606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregg County, Texas (part) |
E231036
|
entity |
| Predicate | congressionalDistrictNumber |
P89903
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Gregg County, Texas (part), congressionalDistrictNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: congressionalDistrictNumber Context triple: [Gregg County, Texas (part), congressionalDistrictNumber, 1]
-
A.
congressionalDistrict
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
B.
stateOfCongressionalDistrict
Indicates the relationship where a specific congressional district is located within or belongs to a particular U.S. state.
-
C.
formerFederalElectoralDistrictNumber
Indicates that an entity was previously designated with a specific federal electoral district number before being restructured, renumbered, or abolished.
-
D.
stateHouseDistrict
Indicates the specific state-level legislative house district in which an entity is located or to which it is assigned.
-
E.
congressionalNumber
Indicates the specific numbered session or term of a legislative congress to which an entity is associated.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aa964c8190a50717edff30f10b |
completed | April 1, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69ccd59b960c8190966a8870a2426bd5 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:05 p.m.