Triple
T37732618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Phonetic Alphabet |
E940200
|
entity |
| Predicate | includesSymbolsFrom |
P204365
|
FINISHED |
| Object | Greek alphabet |
E19401
|
NE 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: Greek alphabet | Statement: [International Phonetic Alphabet, includesSymbolsFrom, Greek alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesSymbolsFrom Context triple: [International Phonetic Alphabet, includesSymbolsFrom, Greek alphabet]
-
A.
includesNewSymbols
Indicates that something contains or introduces symbols that were not present or defined previously.
-
B.
symbolicallyUses
Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
-
C.
inheritsSymbolFrom
Indicates that one entity derives or receives its symbolic representation or notation from another entity.
-
D.
isRelatedSymbol
Indicates that one symbol has a defined relationship or association with another symbol, such as similarity, correspondence, or functional connection.
-
E.
appearsWithSymbol
Indicates that one entity is shown or presented together with a particular symbol in the same visual or contextual setting.
- F. None of above. chosen
Provenance (5 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40d6857f7c8190a83556559a1d8a0e |
completed | June 28, 2026, 8:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.