Triple
T5607263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OTC:NSRGY |
E147263
|
entity |
| Predicate | issuerFoundedIn |
P18715
|
FINISHED |
| Object | 1866 |
—
|
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: 1866 | Statement: [OTC:NSRGY, issuerFoundedIn, 1866]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerFoundedIn Context triple: [OTC:NSRGY, issuerFoundedIn, 1866]
-
A.
issuerFoundedAs
Indicates that the issuer was originally established or created under a particular prior name, form, or organizational identity.
-
B.
issuerFounded
Indicates that one entity is the organization or person that established or created the other entity at its founding.
-
C.
issuerIncorporationCountry
Indicates the country in which the issuing entity is legally incorporated.
-
D.
grantorFoundedIn
Indicates that the entity acting as a grantor was established or came into existence in a specified location or at a specified time.
-
E.
awardingBodyFoundedIn
chosen
Indicates the year or date when the awarding body (the organization that grants awards) was established or founded.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fbb8748190841e5e09db3feef1 |
completed | March 22, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.