Triple
T10553512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackinac Bridge |
E249012
|
entity |
| Predicate | engineeringRankAtOpening |
P94648
|
FINISHED |
| Object | one of the world’s longest suspension bridges |
—
|
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: one of the world’s longest suspension bridges | Statement: [Mackinac Bridge, engineeringRankAtOpening, one of the world’s longest suspension bridges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineeringRankAtOpening Context triple: [Mackinac Bridge, engineeringRankAtOpening, one of the world’s longest suspension bridges]
-
A.
recruitingRanking
Indicates the relative standing or quality level assigned to an entity based on its effectiveness or success in recruiting participants, members, or talent.
-
B.
hasRankUponGraduation
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
-
C.
jobCadre
Indicates that an entity belongs to, or is classified within, a particular job cadre or employment category.
-
D.
eligibleRank
Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
-
E.
collegePosition
Indicates the role, title, or position an individual holds within a college or university.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d52710869c81909b6db1a190825bad |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:34 p.m.