Triple
T35481666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valyria |
E1025485
|
entity |
| Predicate | inUniverseTimeOfDestruction |
P68493
|
FINISHED |
| Object | about four centuries before A Song of Ice and Fire |
—
|
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: about four centuries before A Song of Ice and Fire | Statement: [Valyria, inUniverseTimeOfDestruction, about four centuries before A Song of Ice and Fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inUniverseTimeOfDestruction Context triple: [Valyria, inUniverseTimeOfDestruction, about four centuries before A Song of Ice and Fire]
-
A.
yearOfDestruction
Indicates the specific year in which an entity was destroyed or ceased to exist.
-
B.
timeOfDestruction
chosen
Indicates the specific time at which an entity is destroyed or ceases to exist.
-
C.
survivorsAtTimeOfDestruction
Indicates that the referenced entities were still alive or remained intact at the specific time when a particular destruction event occurred.
-
D.
homeworldDestroyedBy
Indicates that the subject’s homeworld was destroyed by the specified agent or cause.
-
E.
flightAtTimeOfDestruction
Indicates that a flight was occurring or in progress at the specific time when a destruction event took place.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.