Triple
T36078163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Houston (SSN-713) |
E1043555
|
entity |
| Predicate | radiationLeakExtent |
P132202
|
FINISHED |
| Object | small amount of radioactivity released over several years |
—
|
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: small amount of radioactivity released over several years | Statement: [USS Houston (SSN-713), radiationLeakExtent, small amount of radioactivity released over several years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radiationLeakExtent Context triple: [USS Houston (SSN-713), radiationLeakExtent, small amount of radioactivity released over several years]
-
A.
radiationLevel
Indicates the intensity or amount of radiation present in or emitted by an entity or environment.
-
B.
extentOfDamage
chosen
Indicates the degree or severity to which damage has occurred in a given context.
-
C.
majorRadiation
Indicates that one entity is the primary or most significant source of radiation affecting another entity.
-
D.
numberOfFuelAssembliesInSpentFuelPoolAtAccident
Indicates the quantity of fuel assemblies that were present in the spent fuel pool at the time of the accident.
-
E.
hasRadiationField
Indicates that one entity possesses, generates, or is surrounded by a radiation field associated with another entity.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:08 p.m.