Triple
T16206859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enryaku |
E393349
|
entity |
| Predicate | eraSequenceNumber |
P70742
|
FINISHED |
| Object | 50th–60th range of Japanese named eras (approximate) |
—
|
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: 50th–60th range of Japanese named eras (approximate) | Statement: [Enryaku, eraSequenceNumber, 50th–60th range of Japanese named eras (approximate)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraSequenceNumber Context triple: [Enryaku, eraSequenceNumber, 50th–60th range of Japanese named eras (approximate)]
-
A.
eraSequence
Indicates that one era or time period directly follows or precedes another in a chronological sequence.
-
B.
sequenceID
chosen
Indicates that an entity is associated with a specific position or identifier within an ordered sequence.
-
C.
programSequenceNumber
Indicates the position or order of a program within a sequence or series of programs.
-
D.
lastSeriesIssued
Indicates that the related entity is the most recent or final series that has been issued in a sequence.
-
E.
laterNumber
Indicates that one number occurs or is positioned later than another in a specified ordering 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.