Triple
T28861488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CT-04 |
E728874
|
entity |
| Predicate | includesCountyPortions |
P89901
|
FINISHED |
| Object | Fairfield County, Connecticut |
—
|
NE NERFINISHED |
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: Fairfield County, Connecticut | Statement: [CT-04, includesCountyPortions, Fairfield County, Connecticut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCountyPortions Context triple: [CT-04, includesCountyPortions, Fairfield County, Connecticut]
-
A.
includesCounty
Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
-
B.
isPortionOfCountyIncludedInCongressionalDistrict
chosen
Indicates that a specific part of a county lies within the boundaries of a particular congressional district.
-
C.
partiallyInCounty
Indicates that an entity’s spatial extent overlaps with, but is not entirely contained within, a given county.
-
D.
traditionalCountyIncludes
Indicates that a traditional or historic county geographically contains or encompasses another area or entity within its boundaries.
-
E.
coversAllCountiesIn
Indicates that one entity provides complete coverage or service across all counties within the specified 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69ff4de66ba481908e7184b3cf9d4d2d |
completed | May 9, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69ff4c702a5881909c6684c74807e945 |
completed | May 9, 2026, 3:02 p.m. |
Created at: April 28, 2026, 6:47 a.m.