Triple
T6607494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can Tho Bridge |
E149153
|
entity |
| Predicate | constructionAccidentType |
P1788
|
FINISHED |
| Object | scaffold collapse |
—
|
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: scaffold collapse | Statement: [Can Tho Bridge, constructionAccidentType, scaffold collapse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionAccidentType Context triple: [Can Tho Bridge, constructionAccidentType, scaffold collapse]
-
A.
accidentType
chosen
Indicates the specific category or kind of accident associated with an event or incident.
-
B.
injuryType
Indicates the specific kind or category of injury associated with an entity or event.
-
C.
causeOfInjury
Indicates that one entity is the source or reason that another entity sustained an injury.
-
D.
accident
Indicates an unintended, unforeseen event or mishap occurring, often resulting in damage, injury, or disruption.
-
E.
constructionType
Indicates the specific method or style by which something is built or constructed.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.