Triple
T26245274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narya Capital |
E656426
|
entity |
| Predicate | investmentRegionFocus |
P68056
|
FINISHED |
| Object | American Midwest |
—
|
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: American Midwest | Statement: [Narya Capital, investmentRegionFocus, American Midwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investmentRegionFocus Context triple: [Narya Capital, investmentRegionFocus, American Midwest]
-
A.
investmentGeography
chosen
Indicates the geographic region or location where an investment is targeted, managed, or primarily focused.
-
B.
targetInvestorRegion
Indicates the geographic region or market area that an investor is focused on or intended to invest in.
-
C.
developmentRegion
Indicates the geographic or administrative region in which something is developed, produced, or primarily created.
-
D.
marketRegion
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
E.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dc5cbc48190952960eeab21cc9f |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:05 p.m.