Triple
T21570175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stationfall |
E532261
|
entity |
| Predicate | isTextOnly |
P8613
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Stationfall, isTextOnly, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTextOnly Context triple: [Stationfall, isTextOnly, yes]
-
A.
hasNoText
Indicates that the referenced entity or element contains no textual content.
-
B.
textMode
chosen
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
C.
hasMinimalText
Indicates that the associated entity contains only the smallest necessary amount of textual content, with no additional or extraneous text.
-
D.
isReferenceOnly
Indicates that the associated item is intended solely for reference purposes and not for direct use, modification, or primary operation.
-
E.
hasText
Indicates that an entity is associated with or contains a specific piece of textual content.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cb9718819094fc95b25df68bd1 |
completed | April 27, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.