Triple
T37637869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riga |
E936536
|
entity |
| Predicate | timePeriodOfMajorCommercialRole |
P194449
|
FINISHED |
| Object | early modern period |
—
|
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: early modern period | Statement: [Riga, timePeriodOfMajorCommercialRole, early modern period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfMajorCommercialRole Context triple: [Riga, timePeriodOfMajorCommercialRole, early modern period]
-
A.
historicalPeriodOfMajorActivity
Indicates the historical period during which an entity carried out its most significant or influential activities.
-
B.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
C.
timePeriodOfMajorExpansion
Indicates the time span during which the referenced entity underwent its most significant growth or expansion.
-
D.
timePeriodOfMajorImportance
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
E.
historicalPeriodOfGreatestUse
Indicates the time period during which something was used most intensively or prevalently.
- F. None of above. chosen
Provenance (4 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
| PDg | Predicate description generation | batch_69fd6f9a8bd881909983fe8f4cd0ba98 |
completed | May 8, 2026, 5:07 a.m. |
Created at: May 3, 2026, 4:18 p.m.