Triple
T34270719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maski |
E879305
|
entity |
| Predicate | earliestExplicitNamingOf |
P96332
|
FINISHED |
| Object | Ashoka as Devanampiya Ashoka |
—
|
NE NERFINISHED |
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: Ashoka as Devanampiya Ashoka | Statement: [Maski, earliestExplicitNamingOf, Ashoka as Devanampiya Ashoka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestExplicitNamingOf Context triple: [Maski, earliestExplicitNamingOf, Ashoka as Devanampiya Ashoka]
-
A.
earliestWellKnownExample
Indicates that one entity is the earliest well-known example or instance of the other entity.
-
B.
firstClearlyRecognizedIn
Indicates the point in time or context when something was first clearly identified, acknowledged, or distinguished as such.
-
C.
earliestRecordedAs
chosen
Indicates the earliest known time or source at which the subject is documented or identified as having a particular status, name, or role.
-
D.
firstClearlyAttestedIn
Indicates the earliest known point in time or source where something is clearly documented or evidenced.
-
E.
earliestKnownPeriod
Indicates the earliest historical or temporal period in which the subject is known or documented to have existed, occurred, or been relevant.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 1, 2026, 1:56 a.m.