Triple
T2998666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zayin |
E81131
|
entity |
| Predicate | relatedLetterInGreek |
P10003
|
FINISHED |
| Object | Zeta |
—
|
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: Zeta | Statement: [Zayin, relatedLetterInGreek, Zeta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedLetterInGreek Context triple: [Zayin, relatedLetterInGreek, Zeta]
-
A.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
B.
meaningInGreek
Indicates that something is expressed, translated, or holds a particular meaning in the Greek language.
-
C.
hasTitleInGreek
Indicates that an entity possesses a specific title expressed in the Greek language.
-
D.
numericValueInGreekNumerals
Indicates that a given numeric value is represented or expressed using Greek numeral notation.
-
E.
linguisticallyRelatedTo
chosen
Indicates that two entities are connected through a linguistic relationship, such as sharing a common language, origin, structure, or other language-based association.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f766408190a5591efce8346bb9 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.