Triple
T7698741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeszcze Polska nie zginęła |
E174433
|
entity |
| Predicate | firstWordsMeaningInEnglish |
P45905
|
FINISHED |
| Object | Poland has not yet perished |
—
|
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: Poland has not yet perished | Statement: [Jeszcze Polska nie zginęła, firstWordsMeaningInEnglish, Poland has not yet perished]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWordsMeaningInEnglish Context triple: [Jeszcze Polska nie zginęła, firstWordsMeaningInEnglish, Poland has not yet perished]
-
A.
lettersMeaning
Indicates that a set of letters or characters represents, signifies, or conveys a particular meaning or message.
-
B.
firstWordsOf
Indicates that one entity consists of the initial word or sequence of words taken from another entity (such as a text or utterance).
-
C.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
D.
stringMeaning
chosen
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:03 p.m.