Triple
T2729145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cincinnati–Covington Bridge |
E60267
|
entity |
| Predicate | worldsLongestSpanFrom |
P41917
|
FINISHED |
| Object | 1866 |
—
|
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: 1866 | Statement: [Cincinnati–Covington Bridge, worldsLongestSpanFrom, 1866]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldsLongestSpanFrom Context triple: [Cincinnati–Covington Bridge, worldsLongestSpanFrom, 1866]
-
A.
hasLargestContinuousLandAreaOn
Indicates that an entity possesses the greatest uninterrupted expanse of land on a specified geographic region or surface compared to all other entities.
-
B.
isLargestContiguousLandmass
Indicates that one landmass is the largest single, unbroken continuous area of land compared to all other landmasses in the relevant context.
-
C.
occupationPeriod
Indicates the time span during which an entity holds or held a particular occupation or role.
-
D.
hasLongestCoastlineCountry
Indicates that the subject is the country possessing the longest total coastline length among a specified set or within a given context.
-
E.
hasLargestCountryByArea
Indicates that, among a set of compared entities, the subject is associated with the country that has the greatest land area.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaeaee388190a21e7fa0b8f83546 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:56 p.m.