Triple
T2340246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land Ordinance of 1785 |
E45008
|
entity |
| Predicate | definedSectionArea |
P34936
|
FINISHED |
| Object | 1 square mile |
—
|
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: 1 square mile | Statement: [Land Ordinance of 1785, definedSectionArea, 1 square mile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definedSectionArea Context triple: [Land Ordinance of 1785, definedSectionArea, 1 square mile]
-
A.
standardSectionArea
chosen
Indicates that one entity specifies the standard or nominal cross-sectional area associated with another entity.
-
B.
quarterSectionArea
Indicates that one entity specifies the area measurement of a quarter section (one-fourth of a standard land section) associated with another entity.
-
C.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
D.
areaAControl
Indicates that one entity exercises control or authority over a specified area or region.
-
E.
areaBControl
Indicates that one entity has control or authority over a specific region or area labeled as B.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| PD | Predicate disambiguation | batch_69abc594087c819098100a10c5478a4b |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:52 p.m.