Triple
T26093741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Fork Gunnison River |
E658202
|
entity |
| Predicate | valleyNameOrigin |
P66669
|
FINISHED |
| Object | North Fork 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: North Fork Valley | Statement: [North Fork Gunnison River, valleyNameOrigin, North Fork Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valleyNameOrigin Context triple: [North Fork Gunnison River, valleyNameOrigin, North Fork Valley]
-
A.
valleyNameDerivedFrom
chosen
Indicates that the name of a valley is derived from, or based on, another specified source (such as a person, place, language term, or feature).
-
B.
reservoirNameEtymology
Indicates the origin or source of a reservoir’s name, such as the historical, cultural, or linguistic reason it was given that name.
-
C.
districtNameOrigin
Indicates that the relationship specifies the origin or source from which a district’s name is derived.
-
D.
waterfallNameEtymology
Indicates the origin or reasoning behind the name given to a particular waterfall.
-
E.
valleyDesignation
Indicates that an entity is formally designated or classified as a valley in relation to a specified geographic or administrative context.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f607347dd881909aa749e2f3527adb |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:49 p.m.