Triple
T21793504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albanopolis in Illyria |
E538033
|
entity |
| Predicate | hasEarliestAttestationType |
P32394
|
FINISHED |
| Object | literary sources |
—
|
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: literary sources | Statement: [Albanopolis in Illyria, hasEarliestAttestationType, literary sources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEarliestAttestationType Context triple: [Albanopolis in Illyria, hasEarliestAttestationType, literary sources]
-
A.
earliestAttestedStatus
chosen
Indicates the earliest known or recorded status that has been documented for an entity.
-
B.
hasEarliestMajorCorpus
Indicates that one entity is associated with the earliest significant or primary body of work (major corpus) relative to other comparable entities.
-
C.
hasFirstProofYear
Indicates the year in which something was first proven or formally demonstrated to be true.
-
D.
isEarliestAgeOf
Indicates that one value represents the minimum or first age at which a specified condition, event, or state occurs for an entity.
-
E.
hasOldestUnit
Indicates that one entity possesses or is associated with another entity that is the oldest unit within a specified group or hierarchy.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06221d1f4819089bb113d808d79c2 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.