Triple
T38294017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanškroun, Czechoslovakia |
E1022440
|
entity |
| Predicate | hasMunicipalStatusInCzechRepublic |
P37705
|
FINISHED |
| Object | město (town) |
—
|
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: město (town) | Statement: [Lanškroun, Czechoslovakia, hasMunicipalStatusInCzechRepublic, město (town)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalStatusInCzechRepublic Context triple: [Lanškroun, Czechoslovakia, hasMunicipalStatusInCzechRepublic, město (town)]
-
A.
isMunicipalStatus
chosen
Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
-
B.
hasGminaStatus
Indicates that an administrative unit holds the official legal status of a gmina (municipality/commune) within a country’s territorial division.
-
C.
isMunicipalityInCountry
Indicates that a municipality is located within and administratively belongs to a specific country.
-
D.
hasUrbanGminaStatus
Indicates that an administrative unit holds the legal status of an urban gmina (urban municipality).
-
E.
hasMunicipalStatusUntil
Indicates that an entity possessed municipal status up to, but not beyond, a specified point in time.
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: May 3, 2026, 4:30 p.m.