Triple
T26555174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacial Lake Iroquois |
E671787
|
entity |
| Predicate | hadOutlet |
P48330
|
FINISHED |
| Object | Hudson River valley |
—
|
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: Hudson River valley | Statement: [Glacial Lake Iroquois, hadOutlet, Hudson River valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadOutlet Context triple: [Glacial Lake Iroquois, hadOutlet, Hudson River valley]
-
A.
hasOutlet
chosen
Indicates that one entity provides, contains, or is equipped with an outlet or point of access for another entity.
-
B.
locatedAtOutletOf
Indicates that one entity is positioned at or directly adjacent to the outlet or discharge point of another entity (such as a flow, channel, or system).
-
C.
hasOutletWorks
Indicates that an entity has associated works (such as publications, products, or content) that are distributed, presented, or made available through a particular outlet or channel.
-
D.
hadBranchIn
Indicates that an organization or entity maintained a branch, office, or subsidiary located in another specified place or entity.
-
E.
doesNotHaveOutletTo
Indicates that one entity lacks any direct outlet, passage, or connection leading to another entity or to an external space.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f614661bc08190bd533fbfac7da9fe |
completed | May 2, 2026, 3:12 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:49 a.m.