Triple
T3458426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poetic Edda |
E72962
|
entity |
| Predicate | earlierOralMaterialFrom |
P48363
|
FINISHED |
| Object | 9th century |
—
|
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: 9th century | Statement: [Poetic Edda, earlierOralMaterialFrom, 9th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlierOralMaterialFrom Context triple: [Poetic Edda, earlierOralMaterialFrom, 9th century]
-
A.
earlierAct
Indicates that one action or event occurred before another in time.
-
B.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
C.
spokenBefore
Indicates that one entity has spoken or produced speech earlier in time than another entity.
-
D.
hasRichOralTradition
Indicates that an entity is associated with a longstanding, culturally significant body of stories, histories, or knowledge transmitted primarily through spoken word rather than written texts.
-
E.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae36e748190bf20fd3c6de22e19 |
completed | March 8, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:16 p.m.