Triple
T70748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 Loma Prieta earthquake |
E1415
|
entity |
| Predicate | buildingCodeImpact |
P3829
|
FINISHED |
| Object | led to revisions of California seismic building codes |
—
|
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: led to revisions of California seismic building codes | Statement: [1989 Loma Prieta earthquake, buildingCodeImpact, led to revisions of California seismic building codes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingCodeImpact Context triple: [1989 Loma Prieta earthquake, buildingCodeImpact, led to revisions of California seismic building codes]
-
A.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
constructionCost
Indicates the monetary or resource expenditure required to build or construct something.
-
D.
buildingsDestroyed
Indicates that one or more buildings have been damaged to the point of destruction as a result of some event or action.
-
E.
significantBuilding
Indicates that a building holds notable importance, prominence, or special status within a particular context (e.g., historical, cultural, architectural, or functional).
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24eaa0df88190add55579b2b9fd02 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a24fcf5a88819088c5fa4c08476358 |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.