Triple
T21767724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturtevant’s Law |
E537338
|
entity |
| Predicate | appliesToOrthography |
P67410
|
FINISHED |
| Object | cuneiform writing of Hittite |
—
|
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: cuneiform writing of Hittite | Statement: [Sturtevant’s Law, appliesToOrthography, cuneiform writing of Hittite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToOrthography Context triple: [Sturtevant’s Law, appliesToOrthography, cuneiform writing of Hittite]
-
A.
hasOrthographicConvention
chosen
Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
-
B.
hasOrthographicReform
Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
-
C.
usesStandardOrthographyOf
Indicates that one entity writes or represents language according to the standard orthographic system defined for another entity.
-
D.
hasOrthographyStatus
Indicates the orthographic status or condition of how something is written or spelled, such as its conformity to a particular writing system or standard.
-
E.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ab57808190b9af6d8f0ead1051 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.