Triple
T12494211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melas River |
E298640
|
entity |
| Predicate | hasLanguageOfHistoricalSources |
P30358
|
FINISHED |
| Object | Ancient Greek |
—
|
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: Ancient Greek | Statement: [Melas River, hasLanguageOfHistoricalSources, Ancient Greek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfHistoricalSources Context triple: [Melas River, hasLanguageOfHistoricalSources, Ancient Greek]
-
A.
languageOfHistoricalRecord
chosen
Indicates the language in which a given historical record is written or recorded.
-
B.
historicalLanguageOfScholarship
Indicates that a language has historically been used as a primary medium of scholarly, academic, or learned communication for a given community, region, or tradition.
-
C.
historicalLanguage
Indicates that one language is a historical or earlier form/ancestor of another language.
-
D.
hasMajorityLanguageHistorically
Indicates that a particular language has historically been the predominant or majority language within a given entity or region.
-
E.
historicalLanguageCenter
Indicates that a location has served as a significant hub or focal point for the development, use, or study of a particular language in the past.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.