Triple
T15546069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seneca, Illinois |
E370611
|
entity |
| Predicate | isLocatedInWatershed |
P17416
|
FINISHED |
| Object | Illinois River watershed |
—
|
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: Illinois River watershed | Statement: [Seneca, Illinois, isLocatedInWatershed, Illinois River watershed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInWatershed Context triple: [Seneca, Illinois, isLocatedInWatershed, Illinois River watershed]
-
A.
hasWatershed
chosen
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
-
B.
hasWatershedWith
Indicates that two geographic areas share or are associated with the same watershed or drainage basin.
-
C.
hydrologicallyLocatedIn
Indicates that a water-related feature (such as a river, lake, or watershed) is situated within or associated with a specific geographic or administrative area in terms of hydrology.
-
D.
isInCatchment
Indicates that one entity lies within the geographic or service area covered or served by another entity.
-
E.
hasWatershedCharacteristic
Indicates that a watershed possesses a specified characteristic, feature, or property.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69deda7a95c48190bbe29fadcf17191a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:07 a.m.