Triple
T9127216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Člověk v tísni |
E218994
|
entity |
| Predicate | hasEnglishWebsite |
P43395
|
FINISHED |
| Object | https://www.peopleinneed.net |
—
|
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: https://www.peopleinneed.net | Statement: [Člověk v tísni, hasEnglishWebsite, https://www.peopleinneed.net]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishWebsite Context triple: [Člověk v tísni, hasEnglishWebsite, https://www.peopleinneed.net]
-
A.
languageOfOfficialWebsite
Indicates the language in which an entity’s official website is primarily written or presented.
-
B.
hasEnglishEdition
chosen
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
C.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
D.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
-
E.
hasEnglishReception
Indicates that something has been received, interpreted, or responded to within an English-speaking context.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8c93d3c8190b003b2b1af2003b2 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.