Triple
T28808940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatra |
E727454
|
entity |
| Predicate | inscribedInScript |
P22774
|
FINISHED |
| Object | Aramaic inscriptions |
—
|
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: Aramaic inscriptions | Statement: [Hatra, inscribedInScript, Aramaic inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscribedInScript Context triple: [Hatra, inscribedInScript, Aramaic inscriptions]
-
A.
scriptOfInscription
chosen
Indicates the writing system or script in which a given inscription is written.
-
B.
inscribedFor
Indicates that something is formally written, engraved, or dedicated for a particular recipient or purpose.
-
C.
mayBeInscribedAs
Indicates that one entity is permitted or suitable to be formally recorded, written, or engraved as another entity.
-
D.
inscribedUnder
Indicates that one entity is written, carved, or engraved beneath another entity, typically as a subordinate or accompanying inscription.
-
E.
inscribedBy
Indicates that one object has another object written, carved, or engraved onto its surface.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:30 a.m.