Triple
T6328610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nauvoo, Illinois |
E141919
|
entity |
| Predicate | populationPeakAsLDSCity |
P70882
|
FINISHED |
| Object | early 1840s |
—
|
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 1840s | Statement: [Nauvoo, Illinois, populationPeakAsLDSCity, early 1840s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationPeakAsLDSCity Context triple: [Nauvoo, Illinois, populationPeakAsLDSCity, early 1840s]
-
A.
capitalCityAtPeak
Indicates that a city served as the capital of an entity (such as a country or region) during the entity’s period of greatest power, influence, or territorial extent.
-
B.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
C.
majorPopulationCenter
Indicates that a location functions as a primary hub of population concentration and activity within a region.
-
D.
majorPopulationIn
Indicates that a significant portion of a population is located in or primarily associated with a particular place or region.
-
E.
populationConcentration
Indicates the degree to which a population is densely gathered or distributed within a specific area or region.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651197908190a30e504e2442d40f |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:29 p.m.