Triple
T20323855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Risch |
E492280
|
entity |
| Predicate | hasCivicNumber |
P139678
|
FINISHED |
| Object | Liechtenstein politician identifier |
—
|
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: Liechtenstein politician identifier | Statement: [Daniel Risch, hasCivicNumber, Liechtenstein politician identifier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCivicNumber Context triple: [Daniel Risch, hasCivicNumber, Liechtenstein politician identifier]
-
A.
hasCivicIdentity
Indicates that an entity possesses a recognized status, role, or affiliation within a civic, social, or political community.
-
B.
hasNationalIdentity
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
C.
hasCivicElements
Indicates that something includes or involves aspects related to civic life, responsibilities, or public affairs.
-
D.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
E.
hasMunicipalDistrictNumber
Indicates that a municipality or local administrative unit is assigned a specific district number within its municipal structure.
- F. None of above. chosen
Provenance (4 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778e59508190bfd7a3ce44d56a93 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:21 a.m.