Triple
T15863507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Federal Reserve District |
E384650
|
entity |
| Predicate | coversStatePart |
P11085
|
FINISHED |
| Object | northern Louisiana |
—
|
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: northern Louisiana | Statement: [Dallas Federal Reserve District, coversStatePart, northern Louisiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversStatePart Context triple: [Dallas Federal Reserve District, coversStatePart, northern Louisiana]
-
A.
servesPartOfState
Indicates that an entity serves as an official or functional part of a larger state-level governmental or administrative structure.
-
B.
representsStateIn
Indicates that one entity serves as a representative or embodiment of a particular state, condition, or status of another entity.
-
C.
includesStateOrProvince
chosen
Indicates that one entity geographically contains or encompasses a specific state or province within its boundaries.
-
D.
includesMostOfState
Indicates that one geographic or political entity contains the majority of the area or extent of a given state within its boundaries.
-
E.
refersToStateInRegion
Indicates that one entity denotes or references a specific state located within a particular region.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142b976c081908d3ba3e705419f3a |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:50 a.m.