Triple
T24279574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teental |
E605501
|
entity |
| Predicate | hasNotationSymbolForKhali |
P10282
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Teental, hasNotationSymbolForKhali, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotationSymbolForKhali Context triple: [Teental, hasNotationSymbolForKhali, 0]
-
A.
usesNotationFor
Indicates that one entity employs or adopts a particular notation system or symbolic representation for another entity.
-
B.
hasAlternativeNotation
Indicates that an entity can be represented or written in a different, equivalent form or notation.
-
C.
hasNameInNotation
Indicates that an entity is referred to by a specific name or label within a particular notation or symbolic system.
-
D.
hasSymbolicInterpretation
Indicates that one entity is understood or used as a symbolic representation or metaphorical stand-in for another entity or concept.
-
E.
hasTraditionalSymbol
chosen
Indicates that something is associated with or represented by a conventional or culturally established symbol.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f51050481908a9bd3c586702057 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.