Triple
T13857960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OTC Markets Group |
E333111
|
entity |
| Predicate | hasMarketDesignationSystem |
P110423
|
FINISHED |
| Object | disclosure-based market tiers |
—
|
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: disclosure-based market tiers | Statement: [OTC Markets Group, hasMarketDesignationSystem, disclosure-based market tiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketDesignationSystem Context triple: [OTC Markets Group, hasMarketDesignationSystem, disclosure-based market tiers]
-
A.
hasMarketDesign
chosen
Indicates that an entity is associated with, characterized by, or governed according to a particular market design or market-structuring scheme.
-
B.
hasCityDesignatedAs
Indicates that an entity has a specific city formally assigned or designated to it in a particular role or capacity.
-
C.
hasRegionDesignation
Indicates that an entity is assigned or associated with a specific regional classification or designation.
-
D.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
E.
hasMarketStructure
Indicates that one entity possesses, follows, or is characterized by a particular market structure in an economic or commercial 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.