Triple
T2915114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artes, Scientia, Veritas |
E63786
|
entity |
| Predicate | word1 |
P42899
|
FINISHED |
| Object | Artes |
—
|
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: Artes | Statement: [Artes, Scientia, Veritas, word1, Artes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: word1 Context triple: [Artes, Scientia, Veritas, word1, Artes]
-
A.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
-
B.
secondWord
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
-
C.
thirdWord
Indicates that one entity is the third word in sequence within another entity (such as a text or phrase).
-
D.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
E.
refrainWord
Indicates that one entity avoids using, mentioning, or expressing a particular word or term in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0edb1ac81908b22ef60abb4a4df |
completed | March 7, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:11 p.m.