Triple
T34813983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Byron, Illinois |
E1003575
|
entity |
| Predicate | isInRockIslandCountyMunicipalities |
P181508
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Port Byron, Illinois, isInRockIslandCountyMunicipalities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInRockIslandCountyMunicipalities Context triple: [Port Byron, Illinois, isInRockIslandCountyMunicipalities, true]
-
A.
islandCounty
Indicates that a county is located on, or primarily consists of, one or more islands.
-
B.
isIslandTownship
Indicates that a township is located entirely on an island or consists predominantly of island territory.
-
C.
partOfIslandMunicipalities
Indicates that one or more municipalities are located on and form part of a specific island.
-
D.
islandMunicipality
Indicates that a municipality is located on, or primarily consists of, an island.
-
E.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ab7dfc881909a78153e8a1440b9 |
completed | May 3, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77a39135081908ae22d2a23b44e74 |
completed | May 3, 2026, 4:39 p.m. |
Created at: May 3, 2026, 3:59 p.m.