Triple
T33584974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azerbaijan region |
E860253
|
entity |
| Predicate | timePeriodOfFlourishingScience |
P15561
|
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: [Azerbaijan region, timePeriodOfFlourishingScience, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfFlourishingScience Context triple: [Azerbaijan region, timePeriodOfFlourishingScience, 13th century]
-
A.
eraOfScience
Indicates that one entity is a historical period characterized by particular developments or features in science associated with the other entity.
-
B.
flourishedDuring
chosen
Indicates that an entity was active, thriving, or at its peak during a specified time period or era.
-
C.
historicalPeriodOfGreatestUse
Indicates the time period during which something was used most intensively or prevalently.
-
D.
flourishedBetween
Indicates that an entity experienced its period of greatest activity, success, or prominence within a specified time interval.
-
E.
timePeriodOfMajorExpansion
Indicates the time span during which the referenced entity underwent its most significant growth or expansion.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 1, 2026, 1:40 a.m.