Triple
T21400903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrowhead |
E527907
|
entity |
| Predicate | primarySourceRegion |
P410
|
FINISHED |
| Object | mountain regions of the Western United States |
—
|
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: mountain regions of the Western United States | Statement: [Arrowhead, primarySourceRegion, mountain regions of the Western United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySourceRegion Context triple: [Arrowhead, primarySourceRegion, mountain regions of the Western United States]
-
A.
sourceRegion
chosen
Indicates the geographic or spatial region from which something originates or is derived.
-
B.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
C.
originSubregion
Indicates the specific subregional area from which an entity originates or is derived.
-
D.
primaryTerritory
Indicates that a specified area or region is the main or most important territory associated with an entity.
-
E.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16f7c5081909475eb5bb6177955 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:14 p.m.