Triple
T986668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian rial |
E21294
|
entity |
| Predicate | scriptOfInscription |
P22774
|
FINISHED |
| Object | Persian script |
—
|
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: Persian script | Statement: [Iranian rial, scriptOfInscription, Persian script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptOfInscription Context triple: [Iranian rial, scriptOfInscription, Persian script]
-
A.
mainContentOfInscriptions
Indicates that something represents the primary textual or symbolic content conveyed by a set of inscriptions.
-
B.
materialTypicallyInscribedOn
Indicates the material that is most commonly used as the surface or medium on which something is inscribed.
-
C.
inscriptionTranslation
Indicates that a provided text expresses the translated content of a specific inscription.
-
D.
inscriptionsLanguage
Indicates that the language used in the inscriptions on an object or surface is the specified language.
-
E.
reverseInscription
Indicates that one entity is inscribed as the reverse or mirror image of another entity’s inscription.
- 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_69a493c383dc8190a03257f22d4b4183 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4a7754c8190a10ba0587bd8323d |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2abccbc8190a83af432f89eacf5 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.