Triple
T4201596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2011 Tōhoku earthquake and tsunami |
E86077
|
entity |
| Predicate | infrastructureImpact |
P54339
|
FINISHED |
| Object | severe damage to roads and railways |
—
|
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: severe damage to roads and railways | Statement: [2011 Tōhoku earthquake and tsunami, infrastructureImpact, severe damage to roads and railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infrastructureImpact Context triple: [2011 Tōhoku earthquake and tsunami, infrastructureImpact, severe damage to roads and railways]
-
A.
relatedInfrastructure
Indicates that one piece of infrastructure is connected, associated, or functionally related to another infrastructure element.
-
B.
significantInfrastructure
Indicates that an entity constitutes an important or critical piece of infrastructure within a system, network, or region.
-
C.
infrastructureLevel
Indicates the degree or quality of infrastructure present or provided in relation to an entity or location.
-
D.
isPartOfInfrastructure
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
E.
impactBuilding
Indicates that one entity physically collides with or strikes a building, causing an impact event.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af02e4e2308190b527e3b78eb8fa71 |
completed | March 9, 2026, 5:27 p.m. |
Created at: March 9, 2026, 3:49 p.m.