Triple
T37937038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakya |
E946376
|
entity |
| Predicate | politicalPeakPeriod |
P72706
|
FINISHED |
| Object | 13th 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: 13th century | Statement: [Sakya, politicalPeakPeriod, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalPeakPeriod Context triple: [Sakya, politicalPeakPeriod, 13th century]
-
A.
peakProminencePeriod
chosen
Indicates the time period during which something reached its highest level of prominence or significance.
-
B.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
C.
crisisPeakPeriod
Indicates the time period during which a crisis reaches its highest intensity or most critical phase.
-
D.
namingPeakPeriod
Indicates that a specific time interval is designated or labeled as a peak period within a given context.
-
E.
peakVisitorPeriod
Indicates the time period during which a place or attraction experiences its highest number of visitors.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 3, 2026, 4:20 p.m.