Triple
T142816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erie Canal |
E2888
|
entity |
| Predicate | originalWidth |
P3989
|
FINISHED |
| Object | about 40 feet |
—
|
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: about 40 feet | Statement: [Erie Canal, originalWidth, about 40 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWidth Context triple: [Erie Canal, originalWidth, about 40 feet]
-
A.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
B.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
C.
hasWidth
chosen
Indicates that an entity possesses a specific measurement or extent along its width dimension.
-
D.
aspectRatio
Indicates the proportional relationship between an entity’s width and its height.
-
E.
originalText
Indicates that one text is the initial, unmodified version from which other versions, translations, or representations are derived.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565559ac81909e0c4e095a7dfa27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.