Triple
T10166288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eta |
E235211
|
entity |
| Predicate | successorInGreekAlphabet |
P92186
|
FINISHED |
| Object | theta |
—
|
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: theta | Statement: [eta, successorInGreekAlphabet, theta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorInGreekAlphabet Context triple: [eta, successorInGreekAlphabet, theta]
-
A.
correspondsToGreekLetter
Indicates that something is associated with, represents, or is equivalent to a specific letter of the Greek alphabet.
-
B.
abbreviationOfSuccessor
Indicates that one entity is an abbreviation or shortened form of another entity that is the successor in some sequence or versioning.
-
C.
usesGreekLetterSystem
Indicates that one entity employs a writing, naming, or notation system based on Greek letters in relation to another entity or context.
-
D.
numericValueInGreekNumerals
Indicates that a given numeric value is represented or expressed using Greek numeral notation.
-
E.
successorColumn
Indicates that one column directly follows another in a defined ordering or sequence.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6cf27481909f38839452ac0e37 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:10 p.m.