Triple
T17842553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollodotus I |
E445568
|
entity |
| Predicate | writingSystemUsedOnCoins |
P129388
|
FINISHED |
| Object | Greek alphabet |
—
|
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: Greek alphabet | Statement: [Apollodotus I, writingSystemUsedOnCoins, Greek alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingSystemUsedOnCoins Context triple: [Apollodotus I, writingSystemUsedOnCoins, Greek alphabet]
-
A.
writingSystemUsedIn
Indicates that a particular writing system is employed for written communication within a given language, region, or context.
-
B.
languageOnNotesAndCoins
Indicates the language that appears on a country’s official banknotes and coins.
-
C.
languageOnCoins
Indicates the language that is inscribed or used on a set of coins.
-
D.
writingSystemDevelopedFor
Indicates that a particular writing system was created or adapted specifically to be used for a given language, community, or purpose.
-
E.
writingSystem
Indicates that one entity is the script or system of written symbols used to represent the language or content of another entity.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2c3fa8819089bfbeb807a25376 |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:16 a.m.