Triple
T23518979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MKS |
E574448
|
entity |
| Predicate | issuerFoundedInCountry |
P22167
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [MKS, issuerFoundedInCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerFoundedInCountry Context triple: [MKS, issuerFoundedInCountry, United Kingdom]
-
A.
issuerIncorporationCountry
chosen
Indicates the country in which the issuing entity is legally incorporated.
-
B.
issuerFounded
Indicates that one entity is the organization or person that established or created the other entity at its founding.
-
C.
issuerFoundedAs
Indicates that the issuer was originally established or created under a particular prior name, form, or organizational identity.
-
D.
issuerCountry
Indicates the country that has issued or is responsible for the issuance of a given entity (such as a document, instrument, or security).
-
E.
issuerContinent
Indicates the continent on which the issuer is located or based.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa84fe7c8190aa1078a118af7d61 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:08 p.m.