Triple
T28160635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan County, Arkansas |
E714881
|
entity |
| Predicate | originalNameDate |
P197257
|
FINISHED |
| Object | 1871 |
—
|
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: 1871 | Statement: [Logan County, Arkansas, originalNameDate, 1871]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNameDate Context triple: [Logan County, Arkansas, originalNameDate, 1871]
-
A.
previousNameOfDate
Indicates that one date was formerly known or designated by another date, representing a prior naming or labeling of the same temporal reference.
-
B.
originalNameUsedInYears
Indicates that a particular original name was in use for an entity during a specified range of years.
-
C.
originalDamName
Indicates the name originally given to a dam, as first designated or recorded when it was created or constructed.
-
D.
originalNameLanguage
Indicates that the specified language is the language in which an entity’s original or primary name was expressed.
-
E.
retainedOriginalYearInName
Indicates that an entity has kept its original year reference as part of its name despite potential changes or updates.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
| PDg | Predicate description generation | batch_69fe831ba4708190a5564afd7d5a4319 |
completed | May 9, 2026, 12:43 a.m. |
Created at: April 27, 2026, 10:06 p.m.