Triple
T3159148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of the Four Corners of the World |
E66062
|
entity |
| Predicate | timeOfContinuedUse |
P13716
|
FINISHED |
| Object | 1st millennium BCE |
—
|
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: 1st millennium BCE | Statement: [King of the Four Corners of the World, timeOfContinuedUse, 1st millennium BCE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfContinuedUse Context triple: [King of the Four Corners of the World, timeOfContinuedUse, 1st millennium BCE]
-
A.
durationOfUse
chosen
Indicates the length of time for which something is used or remains in use.
-
B.
inUseSince
Indicates that an entity has been actively in use starting from a specified point in time.
-
C.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
D.
usedUntil
Indicates that something remained in use or operation up to a specified time or event, after which it was no longer used.
-
E.
subsequentUse
Indicates that one entity is used, applied, or consumed after another entity in time or sequence.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ed82a08190a1bdcf18ee593c79 |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.