Triple
T2118866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Land Survey System |
E43869
|
entity |
| Predicate | quarterSectionArea |
P34937
|
FINISHED |
| Object | 160 acres |
—
|
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: 160 acres | Statement: [Public Land Survey System, quarterSectionArea, 160 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quarterSectionArea Context triple: [Public Land Survey System, quarterSectionArea, 160 acres]
-
A.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
-
B.
quarterLength
Indicates that one entity specifies the length or duration of a quarter (e.g., a time period or segment) associated with another entity.
-
C.
quadrant
Indicates the specific quarter or sector of a larger two-dimensional space or area in which an entity is located or classified.
-
D.
quarter
Indicates that one entity divides another into four equal parts or assigns it to a specific fourth portion of a whole.
-
E.
oneOfFourQuartersOf
Indicates that one entity constitutes exactly one of the four equal parts (quarters) into which another entity is divided.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb3117c081908c5e748a869d1f9f |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb85fe7a08190b991b1f23bc34f93 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:44 p.m.