Triple
T29832493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Schmidt |
E757561
|
entity |
| Predicate | citizenshipDocuments |
P111848
|
FINISHED |
| Object | forged passport |
—
|
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: forged passport | Statement: [Anna Schmidt, citizenshipDocuments, forged passport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citizenshipDocuments Context triple: [Anna Schmidt, citizenshipDocuments, forged passport]
-
A.
citizenshipDocument
chosen
Indicates that there exists an official document that certifies or proves an entity’s citizenship status with respect to a state or country.
-
B.
impliesCitizenshipOrIdentity
Indicates that one entity’s status, attribute, or relationship entails or strongly suggests the citizenship or identity of another entity.
-
C.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
D.
leaderCitizenship
Indicates that a leader holds citizenship in, or is a national of, a particular country or political entity.
-
E.
requiresCitizenship
Indicates that one entity can only obtain, access, or participate in another entity if it holds citizenship of a specified country or jurisdiction.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6759cbec481908ef7619ff4c755d9 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:34 p.m.