Triple
T6338258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GWE |
E142550
|
entity |
| Predicate | subsequentLettersMeaning |
P45905
|
FINISHED |
| Object | WE indicate Wejherowo County |
—
|
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: WE indicate Wejherowo County | Statement: [GWE, subsequentLettersMeaning, WE indicate Wejherowo County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentLettersMeaning Context triple: [GWE, subsequentLettersMeaning, WE indicate Wejherowo County]
-
A.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
B.
associatedCharacterMeaning
Indicates that there is a relationship between a character and the meaning, interpretation, or concept that this character is intended to represent.
-
C.
letterSequence
Indicates that one sequence of letters directly follows or is ordered in relation to another within a larger string or alphabetic arrangement.
-
D.
associatedGlyphMeaning
Indicates a relationship where a glyph is linked to, or represents, a particular meaning or semantic value.
-
E.
stringMeaning
chosen
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.